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| [[https://www.packtpub.com/application-development/programming-concepts-python-video|Programming Concepts in Python (Video)]] Daniel Arbuckle ISBN 13: 9781788995948 Course Length: 1 hour 20 minutes (February 2018) '''Video Overview:''' Build a strong programming foundation with the popular Python language This course teaches the viewer Python in an engaging, friendly, example-driven way. In this course, we cover computer programming using Python. We start by running a "Hello World" program, followed by the discussion of fundamentals, such as common data structures, working with strings, and program flow controls. Later, we focus on writing modular and reusable code, using functions. After getting familiar with the basic concepts, we delve further by covering Object Oriented Programming, errors and exception handling, and working with files. We also discuss Python standard libraries and external libraries. Finally, we provide future directions and next steps for avid learners keen to take their skills to the next level. By the end of this course the audience will be able to write Python programs and scripts that perform most of their daily tasks—including reading a list of strings, separating values by a specific delimiter, removing duplicates, and more. By the end of the course, the viewer should be able to do everything expected of a novice Python programmer. [[https://www.packtpub.com/application-development/programming-concepts-python-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/scikit-learn-%E2%80%93test-predictions-using-various-models-video|scikit-learn –Test Predictions Using Various Models (Video)]] Julian Avila ISBN 13: 9781789133066 Course Length: 2 hours 12 minutes (February 2018) '''Video Overview:''' A one-stop solution to test model accuracy with cross-validation Scikit-learn has evolved as a robust library for machine learning applications in Python with support for a wide range of supervised and unsupervised learning algorithms. This course begins by taking you through videos on linear models; with scikit-learn, you will take a machine learning approach to linear regression. As you progress, you will explore logistic regression. Then you will build models with distance metrics, including clustering. You will also look at cross-validation and post-model workflows, where you will see how to select a model that predicts well. Finally, you'll work with Support Vector Machines to get a rough idea of how SVMs work, and also learn about the radial basis function (RBF) kernel. [[https://www.packtpub.com/big-data-and-business-intelligence/scikit-learn-%E2%80%93test-predictions-using-various-models-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/getting-started-nlp-and-deep-learning-python-video|Getting Started with NLP and Deep Learning with Python]] Giuseppe Bonaccorso ISBN 13: 9781789138894 Course Length: 1 hour and 41 minutes (February 2018) '''Video Overview:''' Build a strong foundation to enter the world of Machine Learning and data science with the help of this comprehensive guide As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine Learning applications are everywhere, from self-driving cars to spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this course, you’ll be introduced to the Natural Processing Language and Recommendation Systems, which help you run multiple algorithms simultaneously. Also, you’ll learn about Deep learning and TensorFlow. Finally, you’ll see how to create an Ml architecture. [[https://www.packtpub.com/big-data-and-business-intelligence/getting-started-nlp-and-deep-learning-python-video|Publisher's page]] ---- [[https://www.amazon.com/dp/1788396901|OpenCV 3.x with Python By Example - Second Edition]] Gabriel Garrido, Prateek Joshi ISBN 13: 9781788396905 Packt 268 Pages (January 2018) '''Book:''' Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples. This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications. [[https://www.packtpub.com/application-development/opencv-3x-python-example-second-edition|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/data-visualization-solutions-beginners-video|Data Visualization Solutions for Beginners (Video)]] Mohammed Topiwalla ISBN 13: 9781788395786 Packt Course Length: 4 hours (Jan 2018) '''Video Overview:''' Take your R, Python, and Tableau Data Visualization Skills from Rookie to Pro! In this course, we’ll be using tools such as Tableau, which is the best visualization tool as ranked by the Gartner Report 2017, as well as open source tools such as R and Python to understand data and share findings between fellow data scientists. This course takes you gradually from basic, fundamental topics to advanced topics with a ton of examples. It also focuses on making you independent of these tools, so you can carry forward your visualization knowledge to any other tool you may need to use. We cover three tools in visualization, namely R, Python, and Tableau and setting up your basic framework for any project you take up. By the end of this course, you’ll have the fundamentals in place, so you can make visualizations on your own with the correct use of various visualization elements. [[https://www.packtpub.com/big-data-and-business-intelligence/data-visualization-solutions-beginners-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python-%E2%80%93-deep-neural-networks-video|Artificial Intelligence with Python – Deep Neural Networks (Video)]] Prateek Joshi ISBN 13: 9781789132670 Packt Course Length: 1 hour 19 minutes (Jan 2018) '''Video Overview:''' Learn different Artificial Intelligence learning techniques with neural networks The course is an introduction to the basics of deep learning methods. We will start with object detection and tracking, in which we will track faces, objects and eyes. We will then build a neural network and an OCR. We will then learn how to build learning agents that can learn from interacting with the environment. We will use Deep Learning with Convolutional Neural Networks, and use TensorFlow to build neural networks. We will then build an image classifier using convolutional neural networks. [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python-%E2%80%93-deep-neural-networks-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python-%E2%80%93-sequence-learning-video|Artificial Intelligence with Python – Sequence Learning (Video)]] Prateek Joshi ISBN 13: 9781788999267 Packt Course Length: 1 hour 14 minutes (December 2017) '''Video Overview:''' Explore the world of sequence learning in Python-text, speech, and more Enter and explore the fascinating world of intelligent apps with Artificial Intelligence with Python. Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps that intelligently interact with the world around you, automatic speech recognition systems, and more. [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python-%E2%80%93-sequence-learning-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python-%E2%80%93-heuristic-search-video|Artificial Intelligence with Python – Heuristic Search (Video)]] Prateek Joshi ISBN 13: 9781788993463 Packt Course Length: 1 hour 47 minutes (December 2017) '''Video Overview:''' Explore the concepts and techniques of AI and bring its magical power to your applications This course is a go-to guide for the four topics, logic programming, heuristic search, genetic algorithms and building games with AI. It will help you learn to programme with AI. The course will start with the basic puzzles, parsing trees and expression matching. This will be followed by building solutions for region coloring and maze solving. The course also has fun-filled videos on building bots to play Tic-tac-toe, Connect Four and Hexapawn. [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python-%E2%80%93-heuristic-search-video|Publisher's page]] ---- [[https://www.packtpub.com/application-development/supervised-and-unsupervised-learning-python-video|Supervised and Unsupervised Learning with Python (Video)]] Prateek Joshi ISBN 13: 9781788990325 Packt Course Length: 2 hours 08 minutes (November 2017) '''Video Overview:''' Hop on the wonderful journey of machine learning and data analysis Build real-world Artificial Intelligence (AI) applications to intelligently interact with the world around you, explore real-world scenarios, and learn about the various algorithms that can be used to build AI applications. Packed with insightful examples and topics such as predictive analytics and deep learning, this course is a must-have for Python developers. [[https://www.packtpub.com/application-development/supervised-and-unsupervised-learning-python-video|Publisher's page]] ---- [[https://www.packtpub.com/application-development/learning-python-video|Learning Python (Video)]] Bhaskar N. Das, Mohit Raj ISBN 13: 9781788995115 Packt Course Length: 3 hours 26 minutes (November 2017) '''Video Overview:''' Begin your journey with Python to take your skills to the next level and create outstanding applications of all kind This course will help you to take your skills to the next level having a good knowledge of the fundamentals of Python. [[https://www.packtpub.com/application-development/learning-python-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/scikit-learn-cookbook-second-edition|scikit-learn Cookbook - Second Edition]] Julian Avila, Trent Hauck ISBN 13: 9781787286382 Packt 374 Pages (November 2017) '''Book Overview:''' Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. This book includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively. [[https://www.packtpub.com/big-data-and-business-intelligence/scikit-learn-cookbook-second-edition|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/pandas-cookbook|Pandas Cookbook]] Theodore Petrou ISBN 13: 9781784393878 Packt 538 Pages (October 2017) '''Book Overview:''' Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. [[https://www.packtpub.com/big-data-and-business-intelligence/pandas-cookbook|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/pandas-predictive-analysis-using-scikit-learn-video|Pandas for Predictive Analysis using scikit-learn (Video)]] Harish Garg ISBN 13: 9781788391429 Packt Course Length: 1 hours 12 minutes (August 2017) '''Video Overview:''' Learn how to use Pandas for Predictive Analysis by employing scikit-learn In this course you learn that stand alone data analysis is fine but what most companies these days are looking for is to do Predictive analysis using their data. This advanced course, will make you ready to start doing Predictive Analysis on your data by showing you how to build Machine Learning models with scikit-learn and pandas. [[https://www.packtpub.com/big-data-and-business-intelligence/pandas-predictive-analysis-using-scikit-learn-video|Publisher's page]] ---- [[https://www.packtpub.com/application-development/getting-started-cloud-native-python-video|Getting Started with Cloud-Native Python (Video)]] Manish Sethi ISBN 13: 9781788833660 Packt Course Length: 1 hours 3 minutes (October 2017) '''Video Overview:''' Building Microservices and Web Applications in Python Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications.This video will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you’ll learn how to build microservices in Python using REST APIs in an event-driven approach and you will build the web layer. It's a practical video: you're going to build everything using Python 3 and its amazing tooling ecosystem. [[https://www.packtpub.com/application-development/getting-started-cloud-native-python-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-deep-learning-cookbook|Python Deep Learning Cookbook]] Indra den Bakker ISBN 13: 9781787125193 Packt 330 Pages (October 2017) '''Book Overview:''' Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios. [[https://www.packtpub.com/big-data-and-business-intelligence/python-deep-learning-cookbook|Publisher's page]] ---- [[https://www.packtpub.com/networking-and-servers/python-digital-forensics-cookbook|Python Digital Forensics Cookbook]] Preston Miller, Chapin Bryce ISBN 13: 9781783987467 Packt Publishing 412 Pages (September 2017) '''Book Overview:''' Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations. By leveraging the Python recipes explored throughout this book, you make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. [[https://www.packtpub.com/networking-and-servers/python-digital-forensics-cookbook|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/step-step-machine-learning-python-video|Step-by-Step Machine Learning with Python (Video)]] Yuxi (Hayden) Liu ISBN 13: 9781788622370 Packt Publishing Course Length: 4 hours 56 minutes (September 2017) '''Video Overview:''' Put your Python skills to the test and enter the big world of data science to learn the most effective machine learning tools and techniques with this interesting guide. This video is your entry point to machine learning. It starts with an introduction to machine learning and the Python language and shows you how to complete the necessary setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. With the help of the various projects included, you will acquire the mechanics of several important machine learning algorithms, which will no longer seem obscure. Also, you will be guided step-by-step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and master best practices for applying machine learning techniques. Throughout this course, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple Python language. [[https://www.packtpub.com/big-data-and-business-intelligence/step-step-machine-learning-python-video|Publisher's page]] ---- [[https://www.packtpub.com/business/0-1-machine-learning-nlp-python-cut-chase-video|From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase (Video)]] Loonycorn ISBN 13: 9781788624329 Packt Publishing Course Length: 19 hours 15 minutes (September 2017) '''Video Overview:''' A down-to-earth, shy but confident take on machine learning techniques that you can put to work today. This course is very visual: most of the techniques are explained with the help of animations to help you understand better. This course is practical as well: There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python. The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall. [[https://www.packtpub.com/business/0-1-machine-learning-nlp-python-cut-chase-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/practical-time-series-analysis|Practical Time Series Analysis]] Dr. Avishek Pal, Dr. PKS Prakash ISBN 13: 9781788290227 Packt Publishing 244 Pages (September 2017) '''Book Overview:''' Step by Step guide filled with real world practical examples. The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, you shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python. [[https://www.packtpub.com/big-data-and-business-intelligence/practical-time-series-analysis|Publisher's page]] ---- [[https://www.packtpub.com/networking-and-servers/basic-and-low-level-python-network-attacks-video|Basic and Low-level Python Network Attacks (Video)]] Sam Bowne ISBN 13: 9781788399432 Packt Publishing Course Length: 2 hours 22 minutes (August 2017) '''Video Overview:''' Explore the world of Basic and Low-Level Network Attacks with Python A penetration tester who only knows how to use tools written by others is limited to old techniques. Knowledge of a programming language will make you much more powerful. Python is the favorite choice for penetration testers because it combines simplicity and ease of use with advanced features. The goal of this video course is to show you how you can quickly and easily make simple attack tools with Python, even if you have never programmed before. [[https://www.packtpub.com/networking-and-servers/basic-and-low-level-python-network-attacks-video|Publisher's page]] ---- [[https://www.packtpub.com/application-development/computer-vision-python-3|Computer Vision with Python 3]] Saurabh Kapur ISBN 13: 9781788299763 Packt Publishing 206 Pages (August 2017) '''Book Overview:''' Unleash the power of computer vision with Python to carry out image processing and computer vision techniques This book is a thorough guide for developers who want to get started with building computer vision applications using Python 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three image processing libraries Pillow, Scikit-Image, and OpenCV will be used to implement different computer vision algorithms. [[https://www.packtpub.com/application-development/computer-vision-python-3|Publisher's page]] ---- [[https://www.packtpub.com/application-development/learning-concurrency-python|Learning Concurrency in Python]] Elliot Forbes ISBN 13: 9781787285378 Packt Publishing 313 Pages(August 2017) '''Book Overview:''' Practically and deeply understand concurrency in Python to write efficient programs This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. [[https://www.packtpub.com/application-development/learning-concurrency-python|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/learning-pandas-video|Learning Pandas (Video)]] Harish Garg ISBN 13: 9781787287891 Packt Publishing Course Length: 1 hour and 14 minutes (June 2017) '''Video Overview:''' This video will show you how you can get the most out of Pandas for data analysis.The course starts with teaching you the absolute basics such as installing and setting up of the pandas library. Then, you will be introduced to fundamental data structures in pandas and the different data types, indexing, and more. You will then implement the basic functionalities of the pandas library such as working with different kinds of data, indexing, and handling missing data. The course will also teach you how to analyze and model your data, and organize the results of your analysis in the form of plots or other visualization means. Throughout the course, you will implement simple yet highly effective examples and use-cases which are relevant in the real-world scenario, as you build on your understanding of pandas.By the end of this course, you will have a firm understanding of the basics of pandas. You will be ready to start using pandas for different data science tasks with confidence. '''What you will learn:''' * Create the GUI Form and add widgets * Know how to read different kinds of data into Pandas Dataframes for data analysis. * Attain knowledge of how to manipulate, transform and apply formulas on the data imported into the pandas dataframes * Be trained in analyzing and visualizing different kinds of data using Pandas to gain real world insights. * Get to know how to use Pandas to make predictions using Machine Learning and scikit-learn * Practice ways in which to work with Big Data using Pandas * Imbibe how to work with quantitative financial data and how to model time-series data, * Perform algorithmic trading, derive results on fixed and moving windows, and more. * Get the hang of taking out transformed data out of Pandas dataframes and into the formats your application expects. [[https://www.packtpub.com/big-data-and-business-intelligence/learning-pandas-video |Publisher's page]] ---- |
---- [[https://www.amazon.com/dp/B0C9SDNCP3|Essential Python for Machine Learning]] Abhishek Singh ISBN-13: 979-8852254672 572 Pages ((July 14, 2023) '''Book Overview''' "Essential Python for Machine Learning" is a comprehensive guide that equips readers with the fundamental Python programming skills necessary to kickstart their journey into the exciting world of machine learning. This book covers the essential topics and techniques required to understand and apply Python in the field of machine learning. Starting with the basics of Python programming, readers learn about conditional statements, loops, data structures, and functions. The book then delves into important libraries like NumPy and Pandas, enabling readers to manipulate and analyze data efficiently. With a focus on practical application, readers explore topics such as file handling, regular expressions, and error handling, gaining essential skills for real-world machine learning projects. Key Features: 1. Comprehensive coverage of Python programming fundamentals. 2. In-depth exploration of key libraries like NumPy and Pandas for data manipulation and analysis. 3. Practical application of Python concepts to real-world machine learning scenarios. 4. Clear explanations, illustrative examples, and practical exercises to enhance learning. 5. Suitable for beginners and those with some programming experience looking to enter the field of machine learning. Whether you are a student, aspiring data scientist, or a Python enthusiast looking to venture into machine learning, "Essential Python for Machine Learning" provides the essential knowledge and skills needed to get started. Gain a strong foundation in Python programming and unlock the power of machine learning with this practical and accessible guide. ---- [[https://www.amazon.com/dp/B0BW32CWD5|Master Python Using Version 3.11: Learn Python Like Never Before]] Abhishek Singh ISBN-13: 979-8385523276 385 Pages (First edition, March 2023) '''Book Overview:''' One of the most popular programming languages used nowadays is called Python. It has just become more potent with the addition of a few additional features in its most recent iteration. Yet, not everyone is aware of its potency. The goal of this book is to introduce readers to Python programming from scratch. You are welcome to learn Python Programming like never before, whether you are a computer science undergraduate or not, a school-going programming geek or a beginner. You'll discover everything there is to know about Python, including how to use it for programming, when to employ the much-touted walrus operator and other brand-new features of version 3.11. Many solved programs that were used as interview questions at various firms are included in the book. Understanding the typical mistakes and how to fix them are covered in a separate chapter. The difficult topics have been simplified and expressed in simple terms. Beginners and intermediate readers should read the book. ---- [[https://pythonfromtheverybeginning.com/|Python from the Very Beginning]] John Whitington ISBN-13: 978-0-9576711-5-7 238 Pages (Second edition, May 2023) Also available as a DRM-free PDF or EPUB. '''Book Overview:''' In ''Python from the Very Beginning'' John Whitington takes a no-prerequisites approach to teaching a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints. ''Python from the Very Beginning'' will appeal both to new programmers, and to experienced programmers eager to explore a new language. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur. Second edition, fully updated in 2023. [[https://www.amazon.com/Python-Very-Beginning-exercises-answers/dp/0957671156/|Amazon printed and Kindle]] [[https://pythonfromtheverybeginning.com/|PDF and EPUB eBook]] ---- [[https://nostarch.com/art-clean-code|The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your Life]] Christian Mayer '''Book Overview:''' Most software developers waste thousands of hours working with overly complex code. The eight core principles in ''The Art of Clean Code'' will teach you how to write clear, maintainable code without compromising functionality. 1. Complexity Problem 2. The 80/20 Principle 3. Build a Minimal Viable Product 4. Write Clean and Simple Code 5. Premature Optimization is the Root of All Evil 6. Flow 7. Do One Thing Well (Unix) 8. Less is More in Design The book’s guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance. Amazon: [[https://www.amazon.com/Art-Clean-Code-Practices-Complexity/dp/1718502184|The Art of Clean Code]] ---- [[https://nostarch.com/python-dash|Python Dash: Build Data Analysis and Visualization Apps with Plotly]] Adam Schroeder, Christian Mayer, and Ann Marie Ward '''Book Overview:''' Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code. The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app by building a Twitter analysis dashboard that maps the number of likes certain accounts gained over time. You’ll build up skills through three more sophisticated projects. The first is a global analysis app that compares country data in three areas: the percentage of a population using the internet, percentage of parliament seats held by women, and CO2 emissions. You’ll then build an investment portfolio dashboard, and an app that allows you to visualize and explore machine learning algorithms. In this book you will: * Create and run your first Dash apps * Use the pandas library to manipulate and analyze social media data * Use Git to download and build on existing apps written by the pros * Visualize machine learning models in your apps * Create and manipulate statistical and scientific charts and maps using Plotly Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same. Amazon: [[https://www.amazon.com/Python-Dash-Christian-Mayer-dp-1718502222/dp/1718502222|Python Dash: Build Data Analysis and Visualization Apps with Plotly]] ---- [[https://nostarch.com/learn-code-solving-problems|Learn to Code by Solving Problems: A Python Programming Primer]] Daniel Zingaro '''Book Overview:''' Learn to code, right now. No coding experience required. Don't try to memorize Python syntax with the hope of using it one day. Learn Python for good while you solve programming problems. You get line by line walkthroughs, “check your understanding” questions, practice examples with answers, instant and accurate feedback using convenient online websites, discussion of common errors, and more. This isn’t just a Python book. You’ll definitely learn Python here. But you’ll also learn how to think and solve problems like programmers do. And you’ll learn why slow code is slow and how to write better, faster code. You’re building skills that will not only turn you into a Python programmer but will also help you with whatever programming language you might use in the future. ---- [[https://smile.amazon.com/gp/product/B08G1XLDNB/|Leaving the Rat Race with Python: An Insider's Guide to Freelance Developing]] ''Amazon Smile Link ;)'' L. Rieger, C. Mayer ASIN: B08G1XLDNB Finxter 233 Pages '''Book Overview:''' ''Leaving the Rat Race'' with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life! As an insider's guide to freelance developing, ''Leaving the Rat Race'' helps you nurture, grow, and harness your new online coding business plant---even if you've got little or no experience as a programmer and business owner. By following the instructions in this book, you'll create new joy, happiness, and a sense of independence and self-reliance. Because life's too short to work a company you don't believe in! [[https://smile.amazon.com/gp/product/B08G1XLDNB/|Kindle Amazon]] [[https://blog.finxter.com/book-leaving-the-rat-race-with-python/|eBook PDF]] [[https://python-freelancer.com/|Book + Resources Python Freelancing]] ---- [[https://www.amazon.com/dp/1094777978]] Abhishek Singh, Zohaib Hasan ISBN-13: 978-1094777979 73 Pages (April 20, 2019) '''Book Overview:''' '''Awarded as one of the best books of regular expression in 2020 and 2021 by bookauthority.org.''' Regular Expression is one topic which is nightmare for many seasoned programmers also. And what better choice than Python could have been? An easy to understand language to explain an uneasy to understand topic. This book is designed for absolute beginners with elementary knowledge of Python language. Regular Expressions are considered as a tough topic and usually they are not covered in syllabus in much detail. Mostly, a chapter is given on this topic in syllabus or curriculum books. But here, a complete book is dedicated. This book covers Regular Expression in detail with plenty of examples covering password validation, email ID validation, string manipulations etc. and their step by step analysis. The examples are presented in such a way that one can feel like coding only by reading the codes itself. The book is written in a way to give stress free environment. [[https://regexusingpython.wordpress.com/|Learning Regular Expression Page]] ---- [[https://www.amazon.com/Python-3-8-Nat-Dunn/dp/1951959027|Actionable Python 3.8]] Nat Dunn, Webucator ISBN-13: 978-1951959029 536 Pages (March 15, 2020) '''Book Overview:''' Learning to program is hard. Don’t let anyone tell you different. If you bought or are considering buying this book because someone told you that you should learn Python, then maybe you should reconsider. The big question to ask yourself is ''“Do you want to learn Python?”'' Certainly, this book will help you answer that question, but be prepared to struggle, and to make mistakes, and to get frustrated, and to bang your head against the keyboard. This is Pandora’s box, baby, but… If you get excited by solving hard problems… if you’re into Sudoku, or crosswords, or jigsaw puzzles, or if you’ll spend hours trying to figure out how to separate two metal looping thingamajigs that you found on someone’s shelf…, or you like tinkering with engines, or figuring out the best recipe for chocolate chip cookies… in other words, if you like a challenge, then you might love Python programming.It’s not easy, but it’s easy enough to get started. Pick up a book (good start!), and start going through it. Be patient with yourself. Pretend you’re the teacher as well as the student. When the student fails, the good teacher doesn’t insult or chastise. The good teacher encourages. The good teacher knows that failure is a part of learning, and that overcoming failure is exciting and leads to more learning. '''So, be a good teacher and treat yourself well.''' '''But be a good student too.''' When reading this book, you should be sitting at your computer. When you first begin, plan to spend at least two uninterrupted hours. You should do your best to get through the first two lessons in the first sitting. That will get you through the foundational learning. From there on out, you’ll be hopping back and forth between the book and viewing, editing, and writing code. Go through the book slowly and methodically. Read every demo carefully. Work through every exercise. You cannot learn to code through reading alone. You must practice. This book assume no prior knowledge of Python, but it introduces some pretty advanced topics, such as working with databases, scraping the web, and object-oriented Python. [[https://www.learningiot.net/|Learning IoT Page]] ---- ---- [[https://www.barnesandnoble.com/w/learning-iot-with-python-and-raspberry-pi-ei-horvath/1133345171?ean=9780578549361|Learning IoT with Python and Raspberry Pi]] E.I. Horvath E.A. Horvath ISBN-13:9780578549361 760 Pages (September 1, 2019) '''Book Overview:''' The very nature of IoT requires a knowledge of a programming language and electronic circuits and a knowledge of networking in order to interface with the physical world and networking platforms. Learning IoT with Python and Raspberry Pi uses a cross-disciplinary approach when teaching IoT. Circuits which use light dependent resistors, LEDs, buzzers, passive infrared sensors, ultrasonic sensors, and other components will be used to explore and elucidate programming concepts. Users can monitor devices connected to the Raspberry Pi. Learning IoT with Python and Raspberry Pi allows the programmer to explore the Internet of Things (IoT) by writing code which will monitor temperature, pressure, humidity, and light levels and will determine when motion is detected, etc. Based upon these physical events, a text message is sent, an email is sent, a phone call is made, or a picture is taken. * 300+ code listings illustrate Python programming concepts. * Complete code listings in this textbook for all projects. * 250+ homework problems ranging from short Python scripts to web site configuration projects. * Labs on measuring voltage, current, and resistance using a multimeter. * Introduction to basic Linux commands. * Use the Sense HAT to read environmental data, such as temperature, pressure, and humidity. * Send a text message if the light level detected by an LDR circuit falls below a threshold. * Send an email if motion is detected using a PIR sensor circuit. * Use an ultrasonic sensor in a proximity alert circuit and make a phone call if an intruder gets too close. * Use a GPS HAT to get waypoints and store them in a file. * Use an analog to digital converter to read in data from sensors. * Control a servo using classes. * Take a picture with the Raspberry Pi Camera. * Install and configure an HTTP server with multiple virtual web sites. * Install and configure an FTP server. * Use SSH and VNC to remotely control the Raspberry Pi. * Create a virtual machine in the cloud. * Upload data to the cloud. * Learn how to write multi-threaded applications. * Play an audio file. * Control a robot using a multi-threaded application. [[https://www.learningiot.net/|Learning IoT Page]] ---- [[https://thepythoncodingbook.com/|The Python Coding Book: Understanding what programming really is]] Stephen Gruppetta Freely available online book '''Book Overview:''' '''The key to mastering programming is to truly understand why we do things''' in the way we do them. Learning the methods is not enough. My focus in the years I’ve spent teaching coding has been to get my students to think in the way the computer does. Only then can we speak its language. We need to understand the various tools in a coding language as if they’re our best friends, not just mere acquaintances. The focus of this book is '''real''' understanding. ‘Why’ is just as important a question as ‘How’. And I like analogies—a lot. So your journey through learning how to code will take you through The White Room and coffee machines, and you’ll even climb a tree! This book will start from the basics, and in its second part will start to move towards areas of programming relevant to fields such as science, finance, and other data-driven fields. The Table of contents of the book is the following: * 0 | How To Learn To Code: Preface * 1 | Getting Started: Your First Project * 2 | Loops, Lists and More Fundamentals * 3 | Power-up Your Coding: Create Your Own Functions * 4 | Data, Data Types, and Data Structures * 5 | Dealing With Errors and Bugs * ~ | The White Room: Understanding Programming * 6 | Functions Revisited * 7 | Object-Oriented Programming * 8 | Numerical Python for Quantitative Applications Using numpy * 9 | Dealing with Dates and Times in Python * 10 | Basics of Data Visualisation Using matplotlib * 11 | Functional Programming and Lambda Functions * 12 | Analysing Data Using pandas [[https://thepythoncodingbook.com/|The Python Coding Book: Understanding what programming really is]] ---- [[https://www.amazon.com/gp/product/B07ZY7XMX8|Python One-Liners]] Christian Mayer ASIN: B07ZY7XMX8 NoStarch 256 Pages (May 2020) '''Book Overview:''' Python programmers will improve their computer science skills with these useful one-liners Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book covers essential advanced topics like slicing, list comprehension, broadcasting, lambda functions, algorithms, regular expressions, neural networks, logistic regression and more. Each of the 50 book sections introduces a problem to solve, walks the reader through the skills necessary to solve that problem, then provides a concise one-liner Python solution with a detailed explanation. [[https://pythononeliners.com/|Book page (free material)]] [[https://nostarch.com/pythononeliners|Publisher's page]] ---- [[https://www.packtpub.com/application-development/learn-programming-python-cody-jackson|Learn Programming in Python with Cody Jackson]] Cody Jackson ISBN 13: 9781789531947 Packt 304 Pages (November 2018) '''Book Overview:''' Kick-start your development journey with this end-to-end guide that covers Python programming fundamentals along with application development Python is a cross-platform language used by organizations such as Google and NASA. It lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. Based on his personal experiences when learning to program, Learn Programming in Python with Cody Jackson provides a hands-on introduction to computer programming utilizing one of the most readable programming languages–Python. It aims to educate readers regarding software development as well as help experienced developers become familiar with the Python language, utilizing real-world lessons to help readers understand programming concepts quickly and easily. The book starts with the basics of programming, and describes Python syntax while developing the skills to make complete programs. In the first part of the book, readers will be going through all the concepts with short and easy-to-understand code samples that will prepare them for the comprehensive application built in parts 2 and 3. The second part of the book will explore topics such as application requirements, building the application, testing, and documentation. It is here that you will get a solid understanding of building an end-to-end application in Python. The next part will show you how to complete your applications by converting text-based simulation into an interactive, graphical user interface, using a desktop GUI framework. After reading the book, you will be confident in developing a complete application in Python, from program design to documentation to deployment. [[https://www.packtpub.com/application-development/learn-programming-python-cody-jackson|Publisher's page]] ---- [[https://www.packtpub.com/application-development/python-3-object-oriented-programming-third-edition|Python 3 Object-Oriented Programming - Third Edition]] Dusty Phillips ISBN 13: 9781789615852 Packt 466 Pages (October 2018) '''Book Overview:''' Uncover modern Python with this guide to Python data structures, design patterns, and effective object-oriented techniques Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem. By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently. [[https://www.packtpub.com/application-development/python-3-object-oriented-programming-third-edition|Publisher's page]] ---- ''''Start Here: Python Programming for Beginners''' [[http://www.toonzcat.com/book.html|"Start Here: Python Programming for beginners"]] by Jody S. Ginther was written after the changes made in Python 3. It is aimed at total beginners and uses hands-on practice and humor to make learning to program more relaxing and enjoyable. ---- '''Software Development I: with Python''' ISBN: 978-0-9754759-4-2, LCCN: 2010906917, 605 pages [[http://www.softbaugh.com/courses/python1/|"Software Development I: with Python"]] Tom Baugh This course introduces the student to Python, cultivating professional software development skills along the way. Yet, this course requires no prior programming knowledge to learn or to teach. Organized as sixty-four lessons, sixteen tests and two exams, for a total of 82 lecture units, this course covers the following topics: * Python variable, function, class and environment syntax. * Custom module development. * Software development skills and activities. * Python dictionaries, lists, tuples and iterable types. * Command console operations. * List comprehensions. * Python exception handling. * IPython operations and commands. * Essential built-in Python library features. * An introduction to Matplotlib. * An introduction to wxPython and windowed development. By the end of the course, students will have learned how to write Python projects, including custom classes and modules. The course culminates with an exploration of windowed application development, including a bitmapped graphics project. The course material includes the student text and CD-ROM with instructor's guide for each lesson, tests, exams, solutions guide for exercises, tests and exams, student handouts and completed projects for each lesson. The format of the course is intended to support classroom use, homeschool use, or self-study. ---- '''Python Programming in Context''' Bradley N. Miller and David L Ranum Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities. ''dead link'' http://www.jbpub.com/catalog/9780763746025/ ---- '''Python First: The Joy of Success''' Atanas Radenski ISBN: 978159526-713-9, 512 pages, Llumina Press, April 2007 This book is a paper companion to the "Python First" digital pack from studypack.com. The complete digital study pack features e-texts, slides, a wealth of detailed self-guided labs that learners can complete on their own, sample programs, and extensive quizzes. The book offers a printed version of the e-texts and self-guided labs in the same format as they appear in the online digital pack. [[http://www.llumina.com/store/python.htm|Publisher's page]] ---- '''Building Skills in Python''' Steven F. Lott How do you learn Python? By doing a series of exercises, each of which adds a single new feature of the language. This 250+ page book has 31 chapters that will help you build Python programming skills through a series of exercises. This book includes six projects from straight-forward to sophisticated that will help solidify your Python skills. http://homepage.mac.com/s_lott/books/python.html ---- '''Building Skills in Programming How To Write Your Own Software Using Python''' Steven F. Lott How do you learn to solve your own programs by writing programs? By doing a series of exercises, each of which builds up a part of the skill set we call "computer programming". This book has 54 chapters that will help you build basic programming skills through a series of exercises that grow from simple identification of the parts of your computer through to statistical simulations. http://homepage.mac.com/s_lott/books/nonprogrammer.html ---- '''A Byte of Python''' . Swaroop C H A Byte of Python is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for anyone. If all you know is how to save text files, then you can learn Python using this book. If you are an expert programmer who loves C, Perl, Java or C#, you can also learn Python using this book. This book can be read online or downloaded from http://www.swaroopch.com/notes/Python ---- '''Practical Python''' . Magnus Lie Hetland ISBN:1590590066, 619 pages, APress (August 2002) The first half of this book introduces the Python language, and the second half demonstrates its usage in various practical projects such as "automated document conversion, newsgroup administration, graphical PDF document generation, remote document maintenance, the creation of a peer-to-peer system with XML-RPC, database integration, and GUI and game development." A new edition of this book is available under the title '''Beginning Python: From Novice to Professional'''. [[http://www.apress.com/book/bookDisplay.html?bID=93|Publisher's page]] ---- '''Beginning Python: From Novice to Professional''' . Magnus Lie Hetland ISBN:1-59059-519-x, 640 pages, APress (September 2005) This is an update of '''Practical Python'''. [[http://www.apress.com/book/bookDisplay.html?bID=10013|Publisher's page]] ---- '''Computer Programming is Fun!''' . David Handy 208 pages, Handy Software and Publishing (April 2005) Written by a homeschooling Dad for teenage youth, this introductory computer programming book is for people who have no prior programming experience. Teaches the basic principles of programming using Python, with lots of examples. Small video game project at the end. Good for self-study or classroom use. http://www.handysoftware.com/cpif/ ---- '''Python Programming for the Absolute Beginner''' . Michael Dawson ISBN:1592000738 Premier Press, 456 pages (2003) Simple intro accessible for beginners. Very hands-on and fun, utilizes development of games to teach each concept. Great for visual and hands-on learners alike. [[http://www.premierpressbooks.com/ptr_detail.cfm?group=Programming&isbn=1-59200-073-8|Publisher's page]] ---- ---- ---- |
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| [[https://www.packtpub.com/application-development/python-apprentice |Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/learning-pandas-second-edition|Learning pandas - Second Edition]] Michael Heydt ISBN 13: 9781787123137 Packt Publishing 446 pages (June 2017) '''Book Overview:''' With this book you will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. '''What you will learn:''' * Understand how data analysts and scientists think about of the processes of gathering and understanding data * Learn how pandas can be used to support the end-to-end process of data analysis * Use pandas Series and DataFrame objects to represent single and multivariate data * Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources * How to access data from external sources such as files, databases, and web services * Represent and manipulate time-series data and the many of the intricacies involved with this type of data * How to visualize statistical information * How to use pandas to solve several common data representation and analysis problems within finance [[https://www.packtpub.com/big-data-and-business-intelligence/learning-pandas-second-edition|Publisher's page]] ---- |
[[https://www.packtpub.com/application-development/python-apprentice|Publisher's page]] ---- |
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| [[https://www.packtpub.com/application-development/learn-python-7-days |Publisher's page]] ---- [[https://www.packtpub.com/application-development/python-gui-programming-cookbook-second-edition|Python GUI Programming Cookbook - Second Edition]] Burkhard A. Meier ISBN 13: 9781787129450 Packt Publishing 422 pages (May 2017) '''Book Overview:''' This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. '''What you will learn:''' * Create the GUI Form and add widgets * Arrange the widgets using layout managers * Use object-oriented programming to create GUIs * Create Matplotlib charts * Use threads and talking to networks * Talk to a MySQL database via the GUI * Perform unit-testing and internationalizing the GUI * Extend the GUI with third-party graphical libraries * Get to know the best practices to create GUIs '''Who this book is written for:''' This book is for intermediate Python programmers who wish to enhance their Python skills by writing powerful GUIs in Python. As Python is such a great and easy to learn language, this book is also ideal for any developer with experience of other languages and enthusiasm to expand their horizon. [[https://www.packtpub.com/application-development/python-gui-programming-cookbook-second-edition|Publisher's page]] ---- [[https://www.packtpub.com/application-development/python-data-structures-and-algorithms|Python Data Structures and Algorithms]] Benjamin Baka ISBN 13: 9781786467355 Packt Publishing 310 pages (May 2017) '''Book Overview:''' In this book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. '''What you will learn:''' * Gain a solid understanding of Python data structures. * Build sophisticated data applications. * Understand the common programming patterns and algorithms used in Python data science. * Write efficient robust code. '''Who this book is written for:''' This book will appeal to all Python developers. A basic knowledge of Python is expected. [[https://www.packtpub.com/application-development/python-data-structures-and-algorithms|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-end-end-data-analysis|Python: End-to-end Data Analysis]] Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson & Luiz Felipe Martins ISBN 13: 9781788394697 Packt Publishing 931 pages (May 2017) '''Book Overview:''' This book will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. '''What you will learn:''' * Understand the importance of data analysis and master its processing steps * Get comfortable using Python and its associated data analysis libraries such as Pandas, NumPy, and SciPy * Clean and transform your data and apply advanced statistical analysis to create attractive visualizations * Analyze images and time series data * Mine text and analyze social networks * Perform web scraping and work with different databases, Hadoop, and Spark * Use statistical models to discover patterns in data * Detect similarities and differences in data with clustering * Work with Jupyter Notebook to produce publication-ready figures to be included in reports '''Who this book is written for:''' This course is for developers, analysts, and data scientists who want to learn data analysis from scratch. This course will provide you with a solid foundation from which to analyze data with varying complexity. A working knowledge of Python (and a strong interest in playing with your data) is recommended. [[https://www.packtpub.com/big-data-and-business-intelligence/python-end-end-data-analysis|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-example|Python Machine Learning By Example]] Yuxi (Hayden) Liu ISBN 13: 9781783553112 Packt Publishing 254 pages (May 2017) '''Book Overview:''' This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. '''What you will learn:''' * Exploit the power of Python to handle data extraction, manipulation, and exploration techniques * Use Python to visualize data spread across multiple dimensions and extract useful features * Dive deep into the world of analytics to predict situations correctly * Implement machine learning classification and regression algorithms from scratch in Python * Be amazed to see the algorithms in action * Evaluate the performance of a machine learning model and optimize it * Solve interesting real-world problems using machine learning and Python as the journey unfolds '''Who this book is written for:''' This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed. [[https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-example|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-deep-learning|Python Deep Learning]] Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ISBN 13: 9781786464453 Packt Publishing 406 pages (April 2017) '''Book Overview:''' The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results. '''What you will learn:''' * Get a practical deep dive into deep learning algorithms * Explore deep learning further with Theano, Caffe, Keras, and TensorFlow * Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines * Dive into Deep Belief Nets and Deep Neural Networks * Discover more deep learning algorithms with Dropout and Convolutional Neural Networks * Get to know device strategies so you can use deep learning algorithms and libraries in the real world '''Who this book is written for:''' This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired. [[https://www.packtpub.com/big-data-and-business-intelligence/python-deep-learning|Publisher's page]] ---- [[https://www.packtpub.com/application-development/software-architecture-python|Software Architecture with Python]] Anand Balachandran Pillai ISBN 13: 9781786468529 Packt Publishing 556 pages (April 2017) '''Book Overview:''' This book starts off by explaining how Python fits into an application architecture. As you move along, you will understand the architecturally significant demands and how to determine them. Later, you’ll get a complete understanding of the different architectural quality requirements that help an architect to build a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. '''What you will learn:''' * Build programs with the right architectural attributes * Use Enterprise Architectural Patterns to solve scalable problems on the Web * Understand design patterns from a Python perspective * Optimize the performance testing tools in Python * Deploy code in remote environments or on the Cloud using Python * Secure architecture applications in Python '''Who this book is written for:''' This book is for experienced Python developers who are aspiring to become the architects of enterprise-grade applications or software architects who would like to leverage Python to create effective blueprints of applications. [[https://www.packtpub.com/application-development/software-architecture-python|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/learning-data-mining-python-second-edition|Learning Data Mining with Python - Second Edition]] Robert Layton ISBN 13: 9781787126787 Packt Publishing 358 pages (April 2017) '''Book Overview:''' This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. '''What you will learn:''' * Apply data mining concepts to real-world problems * Predict the outcome of sports matches based on past results * Determine the author of a document based on their writing style * Use APIs to download datasets from social media and other online services * Find and extract good features from difficult datasets * Create models that solve real-world problems * Design and develop data mining applications using a variety of datasets * Perform object detection in images using Deep Neural Networks * Find meaningful insights from your data through intuitive visualizations * Compute on big data, including real-time data from the internet '''Who this book is written for:''' If you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected. [[https://www.packtpub.com/big-data-and-business-intelligence/learning-data-mining-python-second-edition|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-data-analysis-second-edition|Python Data Analysis - Second Edition]] Armando Fandango ISBN 13: 9781787127487 Packt Publishing 330 pages (March 2017) '''Book Overview:''' With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. '''What you will learn:''' * Install open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn,theano, keras, and tensorflow on various platforms * Prepare and clean your data, and use it for exploratory analysis * Manipulate your data with Pandas * Retrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5 * Visualize your data with open source libraries such as matplotlib, bokeh, and plotly * Learn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian * Understand signal processing and time series data analysis * Get to grips with graph processing and social network analysis '''Who this book is written for:''' This book is for programmers, scientists, and engineers who have the knowledge of Python and know the basics of data science. It is for those who wish to learn different data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients you need to become an expert data analyst. [[https://www.packtpub.com/big-data-and-business-intelligence/python-data-analysis-second-edition|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-data-analytics-and-visualization|Python: Data Analytics and Visualization]] Phuong Vo.T.H, Martin Czygan, Ashish Kumar, Kirthi Raman ISBN 13: 9781788290098 Packt Publishing 866 pages (March 2017) '''Book Overview:''' Data analysis is the process of applying logical and analytical reasoning in order to study each data component. Python's powerful standard libraries or toolkits, such as Pylearn2 and Hebel, offer a fast, reliable, cross-platform environment for data analytics. This learning path will start with basic data analysis and you will then will gradually move on to increasingly complex problems; your journey will end with representing analyzed data in meaningful visualizations. '''What you will learn:''' * Get acquainted with NumPy and use arrays and array-oriented computing in data analysis * Process and analyze data using the time-series capabilities of Pandas * Understand the statistical and mathematical concepts behind predictive analytics algorithms * Data visualization with Matplotlib * Interactive plotting with NumPy, Scipy, and MKL functions * Build financial models using Monte-Carlo simulations * Create directed graphs and multi-graphs * Advanced visualization with D3 '''Who this book is written for:''' This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. [[https://www.packtpub.com/big-data-and-business-intelligence/python-data-analytics-and-visualization|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python|Artificial Intelligence with Python]] Prateek Joshi ISBN 13: 9781786464392 Packt Publishing 446 pages (January 2017) '''Book Overview:''' Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! '''What you will learn:''' * Realize different classification and regression techniques * Understand the concept of clustering and how to use it to automatically segment data * See how to build an intelligent recommender system * Understand logic programming and how to use it * Build automatic speech recognition systems * Understand the basics of heuristic search and genetic programming * Develop games using Artificial Intelligence * Learn how reinforcement learning works * Discover how to build intelligent applications centered on images, text, and time series data * See how to use deep learning algorithms and build applications based on it '''Who this book is written for:''' This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. [[https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-python|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-part-1-video|Python Machine Learning - Part 1 (Video)]] Jason Wolosonovich ISBN 13: 9781786461636 Packt Publishing 3 hours 22 minutes (January 2017) '''Video Overview:''' This video gives you access to the world of predictive analytics and demonstrates why Python is one of the world’s leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science courseis invaluable. It coversa wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuresguidance and tips on everything from sentiment analysis to neural networks. With this video,you’ll soon be able to answer some of the most important questions facing you and your organization. '''What you will learn:''' * Discover the different types of machine learning and know when to use them * Explore machine learning algorithms and implement them in Python * Use powerful open source machine learning libraries to train predictive models * Use pandas, NumPy, and matplotlib to manipulate data * Evaluate and fine-tune machine learning models '''Who this video is for:''' If you want to find out how to use Python to start answering critical questions using your data, this video is ideal. Whether you want to get started from scratch or want to extend your data science knowledge, this is an essential resource. [[https://www.packtpub.com/big-data-and-business-intelligence/python-machine-learning-part-1-video|Publisher's page]] ---- [[https://www.packtpub.com/application-development/modern-python-solutions-part-1-video|Modern Python Solutions Part 1 (Video)]] Steven F. Lott ISBN 13: 9781787284517 Packt Publishing 5 hours 4 minutes (January 2017) '''Video Overview:''' This video comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The video is broken down into 13 sections that build from simple language concepts to more complex applications of the language.The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks. '''What you will learn:''' * See the intricate details of the Python syntax and how to use it to your advantage * SImprove your code readability through functions in Python * SManipulate data effectively using built-in data structures * SGet acquainted with advanced programming techniques in Python * SEquip yourself with functional and statistical programming features * SWrite proper tests to be sure a program works as advertised * SIntegrate application software using Python '''Who this video is for:''' The video is for web developers, programmers, enterprise programmers, engineers, big data scientist, and so on. If you are a beginner, Modern Python Recipes will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help. [[https://www.packtpub.com/application-development/modern-python-solutions-part-1-video|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/building-recommendation-engines|Building Recommendation Engines]] Suresh Kumar Gorakala ISBN 13: 9781785884856 Packt Publishing 372 pages (December 2016) '''Book Overview:''' The book starts with an introduction to recommendation systems and its applications. You will then start building recommendation engines straight away from the very basics. As you move along, you will learn to build recommender systems with popular frameworks such as R, Python, Spark, Neo4j, and Hadoop. You will get an insight into the pros and cons of each recommendation engine and when to use which recommendation to ensure each pick is the one that suits you the best. '''What you will learn:''' * Build your first recommendation engine * Discover the tools needed to build recommendation engines * Dive into the various techniques of recommender systems such as collaborative, content-based, and cross-recommendations * Create efficient decision-making systems that will ease your work * Familiarize yourself with machine learning algorithms in different frameworks * Master different versions of recommendation engines from practical code examples * Explore various recommender systems and implement them in popular techniques with R, '''Who this book is written for:''' This book caters to beginners and experienced data scientists looking to understand and build complex predictive decision-making systems, recommendation engines using R, Python, Spark, Neo4j, and Hadoop. [[https://www.packtpub.com/big-data-and-business-intelligence/building-recommendation-engines|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python|Bayesian Analysis with Python]] Osvaldo Martin ISBN 13: 9781785883804 Packt Publishing 284 pages (November 2016) '''Book Overview:''' The purpose of this book is to teach the main concepts of Bayesian data analysis. You will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, you will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. You will also look into mixture models and clustering data, and you will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems. * Understand the essentials Bayesian concepts from a practical point of view * Learn how to build probabilistic models using the Python library PyMC3 * Acquire the skills to sanity-check your models and modify them if necessary * Add structure to your models and get the advantages of hierarchical models * Find out how different models can be used to answer different data analysis questions * When in doubt, learn to choose between alternative models. * Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression. * Learn how to think probabilistically and unleash the power and flexibility of the Bayesian framework '''Who this book is written for:''' Students, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is essential. No previous statistical knowledge is assumed. [[https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/python-real-world-machine-learning|Python: Real World Machine Learning]] By Prateek Joshi et al. ISBN 13: 9781787123212 Packt Publishing 941 pages (November 2016) '''Course Overview:''' In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you’ll acquire a broad set of powerful skills in the area of feature selection and feature engineering. The third module in this learning path, Large Scale Machine Learning with Python, dives into scalable machine learning and the three forms of scalability. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the real world. The machine learning techniques covered in this Learning Path are at the forefront of commercial practice. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: * Python Machine Learning Cookbook by Prateek Joshi * Advanced Machine Learning with Python by John Hearty * Large Scale Machine Learning with Python by Bastiaan Sjardin, Alberto Boschetti, Luca Massaron '''What you learn:''' * Use predictive modeling and apply it to real-world problems * Understand how to perform market segmentation using unsupervised learning * Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test * Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms * Increase predictive accuracy with deep learning and scalable data-handling techniques * Work with modern state-of-the-art large-scale machine learning techniques * Learn to use Python code to implement a range of machine learning algorithms and techniques '''Who this course is for:''' This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. [[https://www.packtpub.com/big-data-and-business-intelligence/python-real-world-machine-learning|Publisher's page]] ---- [[https://www.packtpub.com/big-data-and-business-intelligence/data-science-and-machine-learning-python-hands-video|Data Science and Machine Learning with Python - Hands On!]] [Video] By Frank Kane ISBN 13: 9781787127081 Packt Publishing Video length 8 hour 50 minutes (September 2016) '''Video Overview:''' This video will help you take your first steps in the world of data science, and empower you to conduct data analysis and perform efficient machine learning using Python. Gain value from your data using the various data mining and data analysis techniques in Python, and develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. You don’t have to be an expert coder in Python to get the most out of this video – just a basic programming knowledge of Python is sufficient. * Learn how to clean your data and ready it for analysis * Implement the popular clustering and regression methods in Python * Train efficient machine learning models using Decision Trees and Random Forests * Visualize the results of your analysis using Python’s Matplotlib library '''Who this video is for:''' If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this video is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this video to be very useful. [[https://www.packtpub.com/big-data-and-business-intelligence/data-science-and-machine-learning-python-hands-video|Publisher's page]] |
[[https://www.packtpub.com/application-development/learn-python-7-days|Publisher's page]] |
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| This book offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time. | This book offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time. |
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| [[https://www.packtpub.com/packt/free-ebook/learning-python|Learning Python]] ('''Free eBook''') By Fabrizio Romano ISBN 13: 9781783551712 Packt Publishing 442 pages (December 2015) '''Book Overview:''' This book goes deeper than simply showing you how to build a Python app, giving you the fundamentals of Python programming that every developer needs to know to make the most of the language. Packed with tutorials and examples this title features everything from data structures, writing reusable code, testing, paradigms, and how Python can be adapted. This free eBook will help transform you from a complete beginner to someone ready to bring the best out of their projects. * Get Python up and running on Windows, Mac, and Linux in no time * Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. * Write elegant, reusable, and efficient code in any situation * Understand when to use the functional or the object oriented programming approach * Create bulletproof, reliable software by writing tests to support your code * Explore examples of GUIs, scripting, data science and web applications * Learn to be independent, capable of fetching any resource you need, as well as dig deeper '''Who this book is written for:''' This book is meant for programmers who wants to learn Python programming from a basic to an expert level. The book is mostly self-contained and introduces Python programming to a new reader and can help him become an expert in this trade. [[http://www.packtpub.com/packt/free-ebook/learning-python|Publisher's page]] ---- |
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| [[https://www.manning.com/books/learn-python|Learn Python]] | [[https://www.manning.com/books/get-programming|Learn Python]] |
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| * ISBN 9781617293788, 325 pages (estimated), printed in black & white * MEAP began October 2016, Publication in Spring 2017 (estimated) MEAP: early access to chapters as they are being written, available at the Manning Publications web site: [[https://www.manning.com/books/learn-python|Learn Python]] |
* ISBN 9781617293788, 456 pages, printed in black & white * Published Spring 2018 |
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| Chapter 1 available for free: [[https://manning-content.s3.amazonaws.com/download/e/7bf0f7b-e2a8-4503-bd4e-87c06198cdbc/Bell_LearnPython_MEAP_V01_ch1.pdf|Why Should You Learn Python]] | Chapter 4 available for free: [[https://manning-content.s3.amazonaws.com/download/e/2d021c6-d4ed-40e5-8f6d-084f92ccbb86/SampleCh04.pdf|Variables and Expressions: Giving Names and Values to Things]] Chapter 30 available for free: [[https://manning-content.s3.amazonaws.com/download/3/145ee71-1acd-4e02-a9b0-fb0f1892485e/SampleCh30.pdf|Making your own Object Types]] |
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| [[https://www.packtpub.com/application-development/beginning-python-video|Beginning Python (Video)]] William Fiset ISBN: 9781786468994 Course Length: 4 hours and 20 minutes, April 2016, Packt Publishing This course assumes no programming experience and slowly builds the tools you need to take on larger challenges. Once this is done, dive into the fundamentals of Python programming with variables, numbers, strings, and so on. You'll learn to make decisions on your programs with conditional statements and discover that Python has the ability to iterate over the items of any sequence such as a list or a string with loops. You will see how functions play a major role to provide a high degree of code reusing. Along with the built-in functions, you will be able to build your own functions as well. When you've done all this, you'll be ready to create modules in Python all by yourself. Finally, you'll enhance your skills by performing some very interesting manipulations on images. '''What You Will Learn''': * Get to know Python’s data structures to enhance good design patterns and scalability to your code * Construct loops to perform repeated tasks * Create functions in Python to provide programs with better modularity * Understand the concept of function recursion adding clarity to write and debug codes * Manage program control flow and branching to perform conditional tasks * Install third-party libraries to add advanced customizations to images The viewer will know the basics of what programming languages are, but won’t need any knowledge of Python. Nor will the need any actual hands-on experience in a specific language. ---- |
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| [[http://www.pythonware.com/people/fredrik/librarybook.htm|Author's book page]] [[http://effbot.org/zone/librarybook-index.htm|Electronic edition]] | [[http://www.pythonware.com/people/fredrik/librarybook.htm|Author's book page]] [[https://web.archive.org/web/20201017142948/http://effbot.org/zone/librarybook-index.htm|Electronic edition (archived snapshot)]] |
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| '''Python Programming for the Absolute Beginner''' . Michael Dawson ISBN:1592000738 Premier Press, 456 pages (2003) Simple intro accessible for beginners. Very hands-on and fun, utilizes development of games to teach each concept. Great for visual and hands-on learners alike. [[http://www.premierpressbooks.com/ptr_detail.cfm?group=Programming&isbn=1-59200-073-8|Publisher's page]] ---- '''A Byte of Python''' . Swaroop C H A Byte of Python is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for anyone. If all you know is how to save text files, then you can learn Python using this book. If you are an expert programmer who loves C, Perl, Java or C#, you can also learn Python using this book. This book can be read online or downloaded from http://www.swaroopch.com/notes/Python ---- '''Practical Python''' . Magnus Lie Hetland ISBN:1590590066, 619 pages, APress (August 2002) The first half of this book introduces the Python language, and the second half demonstrates its usage in various practical projects such as "automated document conversion, newsgroup administration, graphical PDF document generation, remote document maintenance, the creation of a peer-to-peer system with XML-RPC, database integration, and GUI and game development." A new edition of this book is available under the title '''Beginning Python: From Novice to Professional'''. [[http://www.apress.com/book/bookDisplay.html?bID=93|Publisher's page]] ---- '''Beginning Python: From Novice to Professional''' . Magnus Lie Hetland ISBN:1-59059-519-x, 640 pages, APress (September 2005) This is an update of '''Practical Python'''. [[http://www.apress.com/book/bookDisplay.html?bID=10013|Publisher's page]] ---- '''Computer Programming is Fun!''' . David Handy 208 pages, Handy Software and Publishing (April 2005) Written by a homeschooling Dad for teenage youth, this introductory computer programming book is for people who have no prior programming experience. Teaches the basic principles of programming using Python, with lots of examples. Small video game project at the end. Good for self-study or classroom use. http://www.handysoftware.com/cpif/ ---- '''Problem Solving with Algorithms and Data Structures''' . Brad Miller and David Ranum ISBN:1590280539, Franklin Beedle & Associates, December 2005 This is a textbook for a CS2 Data Structures Course. [[http://knuth.luther.edu/~bmiller/python.html|Home Page]] ---- |
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| ---- '''Python First: The Joy of Success''' Atanas Radenski ISBN: 978159526-713-9, 512 pages, Llumina Press, April 2007 This book is a paper companion to the "Python First" digital pack from studypack.com. The complete digital study pack features e-texts, slides, a wealth of detailed self-guided labs that learners can complete on their own, sample programs, and extensive quizzes. The book offers a printed version of the e-texts and self-guided labs in the same format as they appear in the online digital pack. [[http://www.llumina.com/store/python.htm|Publisher's page]] ---- '''Building Skills in Python''' Steven F. Lott How do you learn Python? By doing a series of exercises, each of which adds a single new feature of the language. This 250+ page book has 31 chapters that will help you build Python programming skills through a series of exercises. This book includes six projects from straight-forward to sophisticated that will help solidify your Python skills. http://homepage.mac.com/s_lott/books/python.html ---- '''Building Skills in Programming How To Write Your Own Software Using Python''' Steven F. Lott How do you learn to solve your own programs by writing programs? By doing a series of exercises, each of which builds up a part of the skill set we call "computer programming". This book has 54 chapters that will help you build basic programming skills through a series of exercises that grow from simple identification of the parts of your computer through to statistical simulations. http://homepage.mac.com/s_lott/books/nonprogrammer.html ---- '''Building Skills in Object-Oriented Design''' Steven F. Lott How do you move from OO programming to OO design? Do a lot of design focused on building a sophisticated application program. This 269-page book has 43 chapters that will help you build OO design skills through the creation of a moderately complex family of application programs. This is a step-by-step guide to OO design and implementation using either the Java or Python programming languages. http://homepage.mac.com/s_lott/books/oodesign.html ---- '''Python Programming in Context''' Bradley N. Miller and David L Ranum Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities. http://www.jbpub.com/catalog/9780763746025/ ---- ---- |
== Python 2 == '''Practical Programming (in Python)''' [[https://launchpad.net/practical-programming|"Practical Programming (in Python)"]] is meant as a first programming course and is tightly aligned with the [[http://www.otago.ac.nz|University of Otago]] introductory programming course called [[http://www.cs.otago.ac.nz/student/papers.php?name=COMP150|Practical Programming]]. The textbook is organized into 24 "lectures" that cover all the basics of programming (sequence, selection, iteration, functions etc), plus all the major data structures supplied by Python. This textbook is a modified version of [[http://www.openbookproject.net/thinkcs/python/english2e/|"How to Think Like a Computer Scientist: Learning with Python 2nd Edition"]], by Jeffrey Elkner, Allen B. Downey and Chris Meyers. ---- == Books no longer available == ---- |
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| ---- '''Practical Programming (in Python)''' [[https://launchpad.net/practical-programming|"Practical Programming (in Python)"]] is meant as a first programming course and is tightly aligned with the [[http://www.otago.ac.nz|University of Otago]] introductory programming course called [[http://www.cs.otago.ac.nz/student/papers.php?name=COMP150|Practical Programming]]. The textbook is organized into 24 "lectures" that cover all the basics of programming (sequence, selection, iteration, functions etc), plus all the major data structures supplied by Python. This textbook is a modified version of [[http://www.openbookproject.net/thinkcs/python/english2e/|"How to Think Like a Computer Scientist: Learning with Python 2nd Edition"]], by Jeffrey Elkner, Allen B. Downey and Chris Meyers. ---- ''''Start Here: Python Programming for Beginners''' [[http://www.toonzcat.com/book.html|"Start Here: Python Programming for beginners"]] by Jody S. Ginther was written after the changes made in Python 3. It is aimed at total beginners and uses hands-on practice and humor to make learning to program more relaxing and enjoyable. ---- '''Software Development I: with Python''' ISBN: 978-0-9754759-4-2, LCCN: 2010906917, 605 pages [[http://www.softbaugh.com/courses/python1/|"Software Development I: with Python"]] Tom Baugh This course introduces the student to Python, cultivating professional software development skills along the way. Yet, this course requires no prior programming knowledge to learn or to teach. Organized as sixty-four lessons, sixteen tests and two exams, for a total of 82 lecture units, this course covers the following topics: * Python variable, function, class and environment syntax. * Custom module development. * Software development skills and activities. * Python dictionaries, lists, tuples and iterable types. * Command console operations. * List comprehensions. * Python exception handling. * IPython operations and commands. * Essential built-in Python library features. * An introduction to Matplotlib. * An introduction to wxPython and windowed development. By the end of the course, students will have learned how to write Python projects, including custom classes and modules. The course culminates with an exploration of windowed application development, including a bitmapped graphics project. The course material includes the student text and CD-ROM with instructor's guide for each lesson, tests, exams, solutions guide for exercises, tests and exams, student handouts and completed projects for each lesson. The format of the course is intended to support classroom use, homeschool use, or self-study. ---- '''Introduction to Computer Science Using Python: A Computational Problem-Solving Focus''' By Charles Dierbach, John Wiley & Sons, December 2012, 612 pages ISBN 13: 978-0-470-55515-6 '''''Recommended by Guido van Rossum''''' "This is not your average Python book ... The book is incredibly thorough: there are exercises throughout the text (not just at the end of each chapter), and it includes a plethora of examples, screenshots, tables, charts, diagrams, and photos ... I love the final chapter, which is an overview of the history of computing, starting with Charles Babbage and Ada Lovelace ... All in all, I think this book is a great text for anyone teaching CS1." [[http://neopythonic.blogspot.com/2013/10/book-review-charles-dierbach.html|Neopythonic]] '''''Recommended by Textbook Adopter Herbert Daly - University of Bedfordshire''''' "As a University lecturer with considerable responsibility at level 1, I found this book to be an outstanding introduction to the world of computing and the Python language." [[http://www.amazon.co.uk/product-reviews/0470555157/ref=dp_top_cm_cr_acr_txt?ie=UTF8&showViewpoints=1|Amazon Review]] Features: * Basics first approach * Focus on computational problem solving, starting with Chapter 1 * Hands-on "Let's Try It" sections and self-test questions throughout the book * Each chapter section contains a "Let's Apply It" example program * Each chapter ends with the step-by-step development and demonstrated debugging techniques of a significant-size program * Contains various end-of-chapter exercises and assignments, including simple programming exercises, assignments involving the modification of programs from within the chapter, and challenging program development problems * Thirty-four page final chapter on the history of computing, starting with Charles Babbage, with over 65 historical images * Python 3 Programmers' Reference at the end of the book for quick look-up of Python details PROVIDED INSTRUCTOR MATERIALS: * instructors' manual (with answers to chapter exercises and assignments) * source code for all textbook examples * solution code for program assignments * over 1,000 well-designed, PowerPoint slides, including every fundamental aspect of each chapter * included test bank [[http://www.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002046.html|Publisher's page (for instructors' request of an evaluation copy)]] ''' cdierbach@towson.edu ''' (for questions, and example textbook materials) ---- CategoryPythonWebsite CategoryPyCon2008 |
[[https://www.packtpub.com/packt/free-ebook/learning-python|Learning Python]] ('''Free eBook''') By Fabrizio Romano ISBN 13: 9781783551712 Packt Publishing 442 pages (December 2015) '''Book Overview:''' This book goes deeper than simply showing you how to build a Python app, giving you the fundamentals of Python programming that every developer needs to know to make the most of the language. Packed with tutorials and examples this title features everything from data structures, writing reusable code, testing, paradigms, and how Python can be adapted. This free eBook will help transform you from a complete beginner to someone ready to bring the best out of their projects. * Get Python up and running on Windows, Mac, and Linux in no time * Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. * Write elegant, reusable, and efficient code in any situation * Understand when to use the functional or the object oriented programming approach * Create bulletproof, reliable software by writing tests to support your code * Explore examples of GUIs, scripting, data science and web applications * Learn to be independent, capable of fetching any resource you need, as well as dig deeper '''Who this book is written for:''' This book is meant for programmers who wants to learn Python programming from a basic to an expert level. The book is mostly self-contained and introduces Python programming to a new reader and can help him become an expert in this trade. [[http://www.packtpub.com/packt/free-ebook/learning-python|Publisher's page]] ---- CategoryPythonWebsite CategoryPyCon2008 CategoryPythonInEducation |
The books on this page are all general introductions to the Python language. Most of these books will contain a few chapters on particular applications such as GUI interfaces or Web programming, but won't go into great detail on any one topic; refer to the PythonBooks page for lists of application-specific books. Experienced programmers who prefer a brief and condensed introduction should look at the list of ReferenceBooks.
Essential Python for Machine Learning
Abhishek Singh
ISBN-13: 979-8852254672 572 Pages ((July 14, 2023)
Book Overview
"Essential Python for Machine Learning" is a comprehensive guide that equips readers with the fundamental Python programming skills necessary to kickstart their journey into the exciting world of machine learning. This book covers the essential topics and techniques required to understand and apply Python in the field of machine learning.
Starting with the basics of Python programming, readers learn about conditional statements, loops, data structures, and functions. The book then delves into important libraries like NumPy and Pandas, enabling readers to manipulate and analyze data efficiently. With a focus on practical application, readers explore topics such as file handling, regular expressions, and error handling, gaining essential skills for real-world machine learning projects.
Key Features:
1. Comprehensive coverage of Python programming fundamentals. 2. In-depth exploration of key libraries like NumPy and Pandas for data manipulation and analysis. 3. Practical application of Python concepts to real-world machine learning scenarios. 4. Clear explanations, illustrative examples, and practical exercises to enhance learning. 5. Suitable for beginners and those with some programming experience looking to enter the field of machine learning.
Whether you are a student, aspiring data scientist, or a Python enthusiast looking to venture into machine learning, "Essential Python for Machine Learning" provides the essential knowledge and skills needed to get started. Gain a strong foundation in Python programming and unlock the power of machine learning with this practical and accessible guide.
Master Python Using Version 3.11: Learn Python Like Never Before
Abhishek Singh
ISBN-13: 979-8385523276 385 Pages (First edition, March 2023)
Book Overview:
One of the most popular programming languages used nowadays is called Python. It has just become more potent with the addition of a few additional features in its most recent iteration. Yet, not everyone is aware of its potency. The goal of this book is to introduce readers to Python programming from scratch. You are welcome to learn Python Programming like never before, whether you are a computer science undergraduate or not, a school-going programming geek or a beginner. You'll discover everything there is to know about Python, including how to use it for programming, when to employ the much-touted walrus operator and other brand-new features of version 3.11. Many solved programs that were used as interview questions at various firms are included in the book. Understanding the typical mistakes and how to fix them are covered in a separate chapter. The difficult topics have been simplified and expressed in simple terms. Beginners and intermediate readers should read the book.
Python from the Very Beginning
John Whitington
ISBN-13: 978-0-9576711-5-7 238 Pages (Second edition, May 2023)
Also available as a DRM-free PDF or EPUB.
Book Overview:
In Python from the Very Beginning John Whitington takes a no-prerequisites approach to teaching a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints.
Python from the Very Beginning will appeal both to new programmers, and to experienced programmers eager to explore a new language. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur.
Second edition, fully updated in 2023.
Amazon printed and Kindle PDF and EPUB eBook
The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your Life
Christian Mayer
Book Overview:
Most software developers waste thousands of hours working with overly complex code.
The eight core principles in The Art of Clean Code will teach you how to write clear, maintainable code without compromising functionality.
- Complexity Problem
- The 80/20 Principle
- Build a Minimal Viable Product
- Write Clean and Simple Code
- Premature Optimization is the Root of All Evil
- Flow
- Do One Thing Well (Unix)
- Less is More in Design
The book’s guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance.
Amazon: The Art of Clean Code
Python Dash: Build Data Analysis and Visualization Apps with Plotly
Adam Schroeder, Christian Mayer, and Ann Marie Ward
Book Overview:
Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty.
A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.
The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app by building a Twitter analysis dashboard that maps the number of likes certain accounts gained over time. You’ll build up skills through three more sophisticated projects. The first is a global analysis app that compares country data in three areas: the percentage of a population using the internet, percentage of parliament seats held by women, and CO2 emissions. You’ll then build an investment portfolio dashboard, and an app that allows you to visualize and explore machine learning algorithms.
In this book you will:
- Create and run your first Dash apps
- Use the pandas library to manipulate and analyze social media data
- Use Git to download and build on existing apps written by the pros
- Visualize machine learning models in your apps
- Create and manipulate statistical and scientific charts and maps using Plotly
Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.
Amazon: Python Dash: Build Data Analysis and Visualization Apps with Plotly
Learn to Code by Solving Problems: A Python Programming Primer
Daniel Zingaro
Book Overview:
Learn to code, right now. No coding experience required.
Don't try to memorize Python syntax with the hope of using it one day. Learn Python for good while you solve programming problems.
You get line by line walkthroughs, “check your understanding” questions, practice examples with answers, instant and accurate feedback using convenient online websites, discussion of common errors, and more.
This isn’t just a Python book. You’ll definitely learn Python here. But you’ll also learn how to think and solve problems like programmers do. And you’ll learn why slow code is slow and how to write better, faster code. You’re building skills that will not only turn you into a Python programmer but will also help you with whatever programming language you might use in the future.
Leaving the Rat Race with Python: An Insider's Guide to Freelance Developing
Amazon Smile Link ;)
L. Rieger, C. Mayer
ASIN: B08G1XLDNB Finxter 233 Pages
Book Overview:
Leaving the Rat Race with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life!
As an insider's guide to freelance developing, Leaving the Rat Race helps you nurture, grow, and harness your new online coding business plant---even if you've got little or no experience as a programmer and business owner.
By following the instructions in this book, you'll create new joy, happiness, and a sense of independence and self-reliance. Because life's too short to work a company you don't believe in!
Kindle Amazon eBook PDF Book + Resources Python Freelancing
https://www.amazon.com/dp/1094777978
Abhishek Singh, Zohaib Hasan
ISBN-13: 978-1094777979 73 Pages (April 20, 2019)
Book Overview:
Awarded as one of the best books of regular expression in 2020 and 2021 by bookauthority.org. Regular Expression is one topic which is nightmare for many seasoned programmers also. And what better choice than Python could have been? An easy to understand language to explain an uneasy to understand topic. This book is designed for absolute beginners with elementary knowledge of Python language. Regular Expressions are considered as a tough topic and usually they are not covered in syllabus in much detail. Mostly, a chapter is given on this topic in syllabus or curriculum books. But here, a complete book is dedicated. This book covers Regular Expression in detail with plenty of examples covering password validation, email ID validation, string manipulations etc. and their step by step analysis. The examples are presented in such a way that one can feel like coding only by reading the codes itself. The book is written in a way to give stress free environment.
Learning Regular Expression Page
Nat Dunn, Webucator
ISBN-13: 978-1951959029 536 Pages (March 15, 2020)
Book Overview:
Learning to program is hard. Don’t let anyone tell you different. If you bought or are considering buying this book because someone told you that you should learn Python, then maybe you should reconsider. The big question to ask yourself is “Do you want to learn Python?” Certainly, this book will help you answer that question, but be prepared to struggle, and to make mistakes, and to get frustrated, and to bang your head against the keyboard. This is Pandora’s box, baby, but…
If you get excited by solving hard problems… if you’re into Sudoku, or crosswords, or jigsaw puzzles, or if you’ll spend hours trying to figure out how to separate two metal looping thingamajigs that you found on someone’s shelf…, or you like tinkering with engines, or figuring out the best recipe for chocolate chip cookies… in other words, if you like a challenge, then you might love Python programming.It’s not easy, but it’s easy enough to get started. Pick up a book (good start!), and start going through it. Be patient with yourself. Pretend you’re the teacher as well as the student. When the student fails, the good teacher doesn’t insult or chastise. The good teacher encourages. The good teacher knows that failure is a part of learning, and that overcoming failure is exciting and leads to more learning. So, be a good teacher and treat yourself well.
But be a good student too. When reading this book, you should be sitting at your computer. When you first begin, plan to spend at least two uninterrupted hours. You should do your best to get through the first two lessons in the first sitting. That will get you through the foundational learning. From there on out, you’ll be hopping back and forth between the book and viewing, editing, and writing code. Go through the book slowly and methodically. Read every demo carefully. Work through every exercise. You cannot learn to code through reading alone. You must practice.
This book assume no prior knowledge of Python, but it introduces some pretty advanced topics, such as working with databases, scraping the web, and object-oriented Python.
Learning IoT with Python and Raspberry Pi
E.I. Horvath E.A. Horvath
ISBN-13:9780578549361 760 Pages (September 1, 2019)
Book Overview:
The very nature of IoT requires a knowledge of a programming language and electronic circuits and a knowledge of networking in order to interface with the physical world and networking platforms. Learning IoT with Python and Raspberry Pi uses a cross-disciplinary approach when teaching IoT. Circuits which use light dependent resistors, LEDs, buzzers, passive infrared sensors, ultrasonic sensors, and other components will be used to explore and elucidate programming concepts. Users can monitor devices connected to the Raspberry Pi. Learning IoT with Python and Raspberry Pi allows the programmer to explore the Internet of Things (IoT) by writing code which will monitor temperature, pressure, humidity, and light levels and will determine when motion is detected, etc. Based upon these physical events, a text message is sent, an email is sent, a phone call is made, or a picture is taken.
- 300+ code listings illustrate Python programming concepts.
- Complete code listings in this textbook for all projects.
- 250+ homework problems ranging from short Python scripts to web site configuration projects.
- Labs on measuring voltage, current, and resistance using a multimeter.
- Introduction to basic Linux commands.
- Use the Sense HAT to read environmental data, such as temperature, pressure, and humidity.
- Send a text message if the light level detected by an LDR circuit falls below a threshold.
- Send an email if motion is detected using a PIR sensor circuit.
- Use an ultrasonic sensor in a proximity alert circuit and make a phone call if an intruder gets too close.
- Use a GPS HAT to get waypoints and store them in a file.
- Use an analog to digital converter to read in data from sensors.
- Control a servo using classes.
- Take a picture with the Raspberry Pi Camera.
- Install and configure an HTTP server with multiple virtual web sites.
- Install and configure an FTP server.
- Use SSH and VNC to remotely control the Raspberry Pi.
- Create a virtual machine in the cloud.
- Upload data to the cloud.
- Learn how to write multi-threaded applications.
- Play an audio file.
- Control a robot using a multi-threaded application.
The Python Coding Book: Understanding what programming really is
Stephen Gruppetta
Freely available online book
Book Overview:
The key to mastering programming is to truly understand why we do things in the way we do them. Learning the methods is not enough. My focus in the years I’ve spent teaching coding has been to get my students to think in the way the computer does. Only then can we speak its language. We need to understand the various tools in a coding language as if they’re our best friends, not just mere acquaintances. The focus of this book is real understanding. ‘Why’ is just as important a question as ‘How’. And I like analogies—a lot. So your journey through learning how to code will take you through The White Room and coffee machines, and you’ll even climb a tree! This book will start from the basics, and in its second part will start to move towards areas of programming relevant to fields such as science, finance, and other data-driven fields. The Table of contents of the book is the following:
- 0 | How To Learn To Code: Preface
- 1 | Getting Started: Your First Project
- 2 | Loops, Lists and More Fundamentals
- 3 | Power-up Your Coding: Create Your Own Functions
- 4 | Data, Data Types, and Data Structures
- 5 | Dealing With Errors and Bugs
- ~ | The White Room: Understanding Programming
- 6 | Functions Revisited
- 7 | Object-Oriented Programming
- 8 | Numerical Python for Quantitative Applications Using numpy
- 9 | Dealing with Dates and Times in Python
- 10 | Basics of Data Visualisation Using matplotlib
- 11 | Functional Programming and Lambda Functions
- 12 | Analysing Data Using pandas
The Python Coding Book: Understanding what programming really is
Christian Mayer
ASIN: B07ZY7XMX8 NoStarch 256 Pages (May 2020)
Book Overview:
Python programmers will improve their computer science skills with these useful one-liners
Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book covers essential advanced topics like slicing, list comprehension, broadcasting, lambda functions, algorithms, regular expressions, neural networks, logistic regression and more. Each of the 50 book sections introduces a problem to solve, walks the reader through the skills necessary to solve that problem, then provides a concise one-liner Python solution with a detailed explanation.
Book page (free material) Publisher's page
Learn Programming in Python with Cody Jackson
Cody Jackson
ISBN 13: 9781789531947 Packt 304 Pages (November 2018)
Book Overview:
Kick-start your development journey with this end-to-end guide that covers Python programming fundamentals along with application development
Python is a cross-platform language used by organizations such as Google and NASA. It lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. Based on his personal experiences when learning to program, Learn Programming in Python with Cody Jackson provides a hands-on introduction to computer programming utilizing one of the most readable programming languages–Python. It aims to educate readers regarding software development as well as help experienced developers become familiar with the Python language, utilizing real-world lessons to help readers understand programming concepts quickly and easily.
The book starts with the basics of programming, and describes Python syntax while developing the skills to make complete programs. In the first part of the book, readers will be going through all the concepts with short and easy-to-understand code samples that will prepare them for the comprehensive application built in parts 2 and 3. The second part of the book will explore topics such as application requirements, building the application, testing, and documentation. It is here that you will get a solid understanding of building an end-to-end application in Python. The next part will show you how to complete your applications by converting text-based simulation into an interactive, graphical user interface, using a desktop GUI framework. After reading the book, you will be confident in developing a complete application in Python, from program design to documentation to deployment.
Python 3 Object-Oriented Programming - Third Edition
Dusty Phillips
ISBN 13: 9781789615852 Packt 466 Pages (October 2018)
Book Overview:
Uncover modern Python with this guide to Python data structures, design patterns, and effective object-oriented techniques
Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem.
By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.
'Start Here: Python Programming for Beginners "Start Here: Python Programming for beginners" by Jody S. Ginther was written after the changes made in Python 3. It is aimed at total beginners and uses hands-on practice and humor to make learning to program more relaxing and enjoyable.
Software Development I: with Python
ISBN: 978-0-9754759-4-2, LCCN: 2010906917, 605 pages
"Software Development I: with Python"
Tom Baugh
This course introduces the student to Python, cultivating professional software development skills along the way. Yet, this course requires no prior programming knowledge to learn or to teach. Organized as sixty-four lessons, sixteen tests and two exams, for a total of 82 lecture units, this course covers the following topics:
- Python variable, function, class and environment syntax.
- Custom module development.
- Software development skills and activities.
- Python dictionaries, lists, tuples and iterable types.
- Command console operations.
- List comprehensions.
- Python exception handling.
- IPython operations and commands.
- Essential built-in Python library features.
- An introduction to Matplotlib.
- An introduction to wxPython and windowed development.
By the end of the course, students will have learned how to write Python projects, including custom classes and modules. The course culminates with an exploration of windowed application development, including a bitmapped graphics project. The course material includes the student text and CD-ROM with instructor's guide for each lesson, tests, exams, solutions guide for exercises, tests and exams, student handouts and completed projects for each lesson. The format of the course is intended to support classroom use, homeschool use, or self-study.
Python Programming in Context
Bradley N. Miller and David L Ranum
Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.
dead link
http://www.jbpub.com/catalog/9780763746025/
Python First: The Joy of Success
Atanas Radenski
ISBN: 978159526-713-9, 512 pages, Llumina Press, April 2007
This book is a paper companion to the "Python First" digital pack from studypack.com. The complete digital study pack features e-texts, slides, a wealth of detailed self-guided labs that learners can complete on their own, sample programs, and extensive quizzes. The book offers a printed version of the e-texts and self-guided labs in the same format as they appear in the online digital pack.
Building Skills in Python
Steven F. Lott
How do you learn Python? By doing a series of exercises, each of which adds a single new feature of the language. This 250+ page book has 31 chapters that will help you build Python programming skills through a series of exercises. This book includes six projects from straight-forward to sophisticated that will help solidify your Python skills.
http://homepage.mac.com/s_lott/books/python.html
Building Skills in Programming How To Write Your Own Software Using Python
Steven F. Lott
How do you learn to solve your own programs by writing programs? By doing a series of exercises, each of which builds up a part of the skill set we call "computer programming". This book has 54 chapters that will help you build basic programming skills through a series of exercises that grow from simple identification of the parts of your computer through to statistical simulations.
http://homepage.mac.com/s_lott/books/nonprogrammer.html
A Byte of Python
- Swaroop C H
A Byte of Python is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for anyone. If all you know is how to save text files, then you can learn Python using this book. If you are an expert programmer who loves C, Perl, Java or C#, you can also learn Python using this book.
This book can be read online or downloaded from http://www.swaroopch.com/notes/Python
Practical Python
- Magnus Lie Hetland
1590590066, 619 pages, APress (August 2002)
The first half of this book introduces the Python language, and the second half demonstrates its usage in various practical projects such as "automated document conversion, newsgroup administration, graphical PDF document generation, remote document maintenance, the creation of a peer-to-peer system with XML-RPC, database integration, and GUI and game development." A new edition of this book is available under the title Beginning Python: From Novice to Professional.
Beginning Python: From Novice to Professional
- Magnus Lie Hetland
1-59059-519-x, 640 pages, APress (September 2005)
This is an update of Practical Python.
Computer Programming is Fun!
- David Handy
208 pages, Handy Software and Publishing (April 2005)
Written by a homeschooling Dad for teenage youth, this introductory computer programming book is for people who have no prior programming experience. Teaches the basic principles of programming using Python, with lots of examples. Small video game project at the end. Good for self-study or classroom use.
http://www.handysoftware.com/cpif/
Python Programming for the Absolute Beginner
- Michael Dawson
1592000738 Premier Press, 456 pages (2003)
Simple intro accessible for beginners. Very hands-on and fun, utilizes development of games to teach each concept. Great for visual and hands-on learners alike.
Robert Smallshire, Austin Bingham
ISBN 13: 9781788293181 Packt Publishing 352 pages (June 2017)
Book Overview:
Before you master Python, you need to learn the culture and the tools to become a productive member of any Python project. This book will give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. As a Python developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
What you will learn:
- Learn the language of Python itself
- Get a start on the Python standard library
- Learn how to integrate 3rd party libraries
- Develop libraries on your own
- Become familiar with the basics of Python testing
Mohit, Bhaskar N. Das
ISBN 13: 9781787288386 Packt Publishing 280 pages (May 2017)
Book Overview:
Python is a great language to get started in the world of programming and application development. This book will help you to take your skills to the next level having a good knowledge of the fundamentals of Python.
Begin with the absolute foundation, covering the basic syntax, type variables and operators. Then you can move on to concepts like statements, arrays, operators, string processing and I/O handling. You’ll be able to learn how to operate tuples and understand the functions and methods of lists. Develop a deep understanding of list and tuples and learn python dictionary. As you progress through the book, you’ll learn about function parameters and how to use control statements with the loop. You’ll further learn how to create modules and packages, storing of data as well as handling errors. Later, dive into advanced level concepts such as Python collections and how to use class, methods, objects in Python.
By the end of this book, you will be able to take your skills to the next level having a good knowledge of the fundamentals of Python.
What you will learn:
- Use if else statement with loops and how to break, skip the loop
- Get acquainted with python types and its operators
- Create modules and packages
- Learn slicing, indexing and string methods
- Explore advanced concepts like collections, class and objects
- Learn dictionary operation and methods
- Discover the scope and function of variables with arguments and return value
What You Need to Know about Machine Learning (Free eBook)
By Gabriel A. Cánepa
ISBN 13: 9781786466211 Packt Publishing (July 2016)
Book Overview:
This book offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time.
- Discover the various forms Machine Learning, and take that which will benefit you the most
- Pick up the Python tools you need to know: from pandas to scikit-learn
- Learn the relationship between machine learning and big data
- Understand and identify potential real-world scenarios where machine learning can be applied
- Lay the foundations to get started in the wide world of machine learning
What You Need to Know about Python (Free eBook)
By Pierluigi Riti
ISBN 13: 9781786465566 Packt Publishing (March 2016)
Book Overview:
With this book you’ll experience the basics of Python, what it can be used for, and get a clear direction in what you need to really get the most from this great language.
- Discover the state of Python in 2016 and what it means for you
- Begin learning about the basics and unique features of Python
- Take on the world of cloud and web development with Django
- Let Jupyter handle your data visualization
Get an introduction to the world of DevOps
By Ana Bell
- Manning Publications Co
ISBN 9781617293788, 456 pages, printed in black & white
- Published Spring 2018
Book overview:
When you're ready to learn to program, Python is a great language to start with. It has a straightforward syntax, you'll find it easy to learn, and it's extremely versatile. Once you master the basics, you'll appreciate Python's very strong online community where you can continue learning and tinkering with more advanced programming techniques. All you need is some help to get going. Learning to program with Python doesn't have to be difficult, in fact it can even be fun. This book will get you started!
Learn Python is an introduction to programming using one of the most popular programming languages. The first few chapters give you a quick background to programming concepts and a hands-on guide to setting up your programming environment. You will then be gently introduced to the basics of programming, building up to writing your first programs! This easy-to-follow tutorial is full of exercises to practice and reinforce each new concept, as well as to give you confidence that you are ready to move on to the next lesson. As you progress, you'll learn programming topics and concepts that are ubiquitous across almost all other programming languages. By the end of the book, you'll have a solid grasp of how to write programs as well as programming best practices.
Who this book is written for:
Anyone without programming experience who wants an easy-to-follow book that guides you through short lessons and exercises.
Chapter 4 available for free: Variables and Expressions: Giving Names and Values to Things
Chapter 30 available for free: Making your own Object Types
The Quick Python Book, 3rd Edition
By Naomi Ceder
- Manning Publications Co
- ISBN 9781617294037 400 pages (estimated)
- MEAP began December 2016, Publication in Spring 2017 (estimated)
MEAP: early access to chapters as they are being written, available at the Manning Publications web site: The Quick Python Book, 3rd Edition
Book overview:
This third revision of Manning's popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.
After exploring Python's syntax, control flow, and basic data structures, the book shows how to create and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. Along the way, you'll survey the current Python development landscape, including Pythonic best practices, data extraction and cleaning, database access, and web frameworks.
Who this book is written for:
This book is for someone who knows how to program, who whats to learn Python quickly and efficiently.
Chapter 1 available for free: About Python
Python Machine Learning Cookbook
By Prateek Joshi
ISBN 13: 9781786464477 Packt Publishing 304 pages (June 2016)
Book overview:
Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.
- Explore classification algorithms and apply them to the income bracket estimation problem
- Use predictive modeling and apply it to real-world problems
- Understand how to perform market segmentation using unsupervised learning
- Explore data visualization techniques to interact with your data in diverse ways
- Find out how to build a recommendation engine
- Understand how to interact with text data and build models to analyze it
- Work with speech data and recognize spoken words using Hidden Markov Models
- Analyze stock market data using Conditional Random Fields
- Work with image data and build systems for image recognition and biometric face recognition
- Grasp how to use deep neural networks to build an optical character recognition system
Who this book is written for:
This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code.
Modular Programming with Python
By Erik Westra
ISBN 13: 9781785884481 Packt Publishing 246 pages (May 2016)
Book overview:
This book will help readers develop readable, reliable, and maintainable programs in Python. Starting with an introduction to the concept of modules and packages, this book shows how you can use these building blocks to organize a complex program into logical parts and make sure those parts are working correctly together. Using clearly written, real-world examples, this book demonstrates how you can use modular techniques to build better programs. A number of common modular programming patterns are covered, including divide-and-conquer, abstraction, encapsulation, wrappers and extensibility. You will also learn how to test your modules and packages, how to prepare your code for sharing with other people, and how to publish your modules and packages on GitHub and the Python Package Index so that other people can use them. Finally, you will learn how to use modular design techniques to be a more effective programmer.
- Learn how to use modules and packages to organize your Python code
- Understand how to use the import statement to load modules and packages into your program
- Use common module patterns such as abstraction and encapsulation to write better programs
- Discover how to create self-testing Python packages
- Create reusable modules that other programmers can use
Learn how to use GitHub and the Python Package Index to share your code with other people
- Make use of modules and packages that others have written
- Use modular techniques to build robust systems that can handle complexity and changing requirements over time
Who this book is written for:
This book is intended for beginner to intermediate level Python programmers who wish to learn how to use modules and packages within their programs. While readers must understand the basics of Python programming, no knowledge of modular programming techniques is required.
The Coder's Apprentice: Learning programming with Python 3
By Pieter Spronck
~400 pages (July 2016)
Book overview:
"The Coder's Apprentice" is a course book, aimed at teaching Python 3 to students and teenagers who are completely new to programming. Contrary to many of the other books that teach Python programming, this book assumes no previous knowledge of programming on the part of the students, and contains numerous exercises that allow students to train their programming skills.
The book covers all imperative programming and object oriented programming aspects of Python 3, including:
- Installing, writing, and running Python
- Expressions, variables, conditions, loops, and functions
- Strings, tuples, lists, dictionaries, and sets
- Text files, binary files, and exceptions
- Object orientation, operator overloading, inheritance, iterators, and generators
- Regular expressions
The book also spends time on algorithm design and writing effective code.
The book is freely available as PDF.
By Preston Miller, Chapin Bryce
ISBN 13: 9781783285235 Packt Publishing 488 pages (May 2016)
Book overview:
This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer.
- Discover how to perform Python script development.
- Update yourself by learning the best practices in forensic programming.
- Build scripts through an iterative design.
- Explore the rapid development of specialized scripts.
- Understand how to leverage forensic libraries developed by the community.
- Design flexibly to accommodate present and future hurdles.
- Conduct effective and efficient investigations through programmatic pre-analysis.
Who this book is written for:
If you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you.You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programming.
Practical Data Analysis Cookbook
By Tomasz Drabas
ISBN 13: 9781783551668 Packt Publishing 384 pages (April 2016)
Book overview:
This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more.
Read, clean, transform, and store your data usng Pandas and OpenRefine.
- Understand your data and explore the relationships between variables using Pandas and D3.js.
Explore a variety of techniques to classify and cluster outbound marketing campaign calls data of a bank using Pandas, mlpy, NumPy, and Statsmodels.
Reduce the dimensionality of your dataset and extract the most important features with pandas, NumPy, and mlpy.
Predict the output of a power plant with regression models and forecast water flow of American rivers with time series methods using pandas, NumPy, Statsmodels, and scikit-learn.
- Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi.
Scrape Internet web pages using urlib and BeautifulSoup and get to know natural language processing techniques to classify movies ratings using NLTK .
- Study simulation techniques in an example of a gas station with agent-based modeling.
Who this book is written for:
This hands-on recipe guide is divided into three sections that tackle and overcome real-world data modeling problems faced by data analysts/scientist in their everyday work. Each independent recipe is written in an easy-to-follow and step-by-step fashion.
Jessica Ingrassellino
ISBN: 9781782175063
192 pages, April 2016, Packt Publishing
Kids are always the most fast-paced and enthusiastic learners, and are naturally willing to build stuff that looks like magic at the end (when it works!). Programming can be one such magic. Being able to write a program that works helps them feel they've really achieved something. Kids today are very tech-savvy and cannot wait to enter the fast-paced digital world.
Because Python is one of the most popular languages and has a syntax that is quite simple to understand, even kids are eager to use it as a stepping stone to learning programming languages.
This book covers projects that are simple and fun, and teach kids how to write Python code that works.
The book will teach the basics of Python programming, installation, and so on and then will move on to projects. A total of three projects, with each and every step explained carefully, without any assumption of previous experience.
What You Will Learn:
- Start fiddling with Python's variables, build functions and interact with users
- Build your own calculator using the Math Library
- Train Python to make logical decisions
- Work with moving 2D objects on-screen
- Understand the Pygame Library and build your very own game!
This book is for kids (aged 10 and over). This is book is intended for absolute beginners who lack any knowledge of computing or programming languages and want to get started in the world of programming.
Learn to Program with Minecraft
Craig Richardson
ISBN: 978-1-59327-670-6
304 pages, December 2015, No Starch Press
You’ve bested creepers, traveled deep into caves, and maybe even gone to The End and back—but have you ever transformed a sword into a magic wand? Built a palace in the blink of an eye? Designed your own color-changing disco dance floor?
In Learn to Program with Minecraft®, you’ll do all this and more with the power of Python, a free language used by millions of professional and first-time programmers!
Begin with some short, simple Python lessons and then use your new skills to modify Minecraft to produce instant and totally awesome results. Learn how to customize Minecraft to make mini-games, duplicate entire buildings, and turn boring blocks into gold.
You’ll also write programs that:
- Take you on an automated teleportation tour around your Minecraft world
- Build massive monuments, pyramids, forests, and more in a snap!
- Make secret passageways that open when you activate a hidden switch
- Create a spooky ghost town that vanishes and reappears elsewhere
- Show exactly where to dig for rare blocks
- Cast a spell so that a cascade of flowers (or dynamite if you’re daring!) follows your every move
- Make mischief with dastardly lava traps and watery curses that cause huge floods
Whether you’re a Minecraft megafan or a newbie, you’ll see Minecraft in a whole new light while learning the basics of programming. Sure, you could spend all day mining for precious resources or building your mansion by hand, but with the power of Python, those days are over!
Requires: Windows 7 or later; OS X 10.10 or later; or a Raspberry Pi.
Uses Python 3
Automate the Boring Stuff with Python
Al Sweigart
ISBN: 978-1-59327-599-0
504 pages, April 2015, No Starch Press
If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to:
- Search for text in a file or across multiple files
- Create, update, move, and rename files and folders
- Search the Web and download online content
- Update and format data in Excel spreadsheets of any size
- Split, merge, watermark, and encrypt PDFs
- Send reminder emails and text notifications
- Fill out online forms
Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.
Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.
Note: The programs in this book are written to run on Python 3.
Amit Saha
ISBN: 978-1-59327-640-9
264 pages, August 2015, No Starch Press
In Doing Math with Python you'll learn to how to use the Python programming language as a tool to delve into math concepts. Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.
Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.
If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.
Suggested for ages 14 and up.
Eric Matthes
ISBN: 978-1-59327-603-4
624 pages, November 2015, No Starch Press
Solve Problems, Make Things, and Do Cool Stuff!
Python Crash Course is a fast-paced and thorough introduction to Python that will have you writing programs, solving problems, and making things that work, fast.
In the first half of the book you’ll learn basic programming concepts, from installing Python to testing code, including how to use a text editor, write clean and readable code, store data in lists and dictionaries, create classes that simulate real-life objects, and write loops to perform actions on your data. You’ll also learn how to make your programs interactive and test your code safely before adding it to your project. The exercises in chapters will help cement your learning so you can put that knowledge into practice in the second half, with three substantial projects: a Space-Invaders-inspired arcade game, data visualization with Python’s super-handy libraries, and a simple Web app you can deploy online.
As you work through Python Crash Course you’ll learn how to:
- Make games that respond to buttons and mouse clicks, and grow more difficult as you progress
- Work with data and generate interactive visualizations
- Utilize the most useful Python libraries and tools, including: matplotlib, numpy, and pygal
- Create and customize Web apps and deploy them safely online
- Deal with mistakes and errors, to better prepare you for solving your own programming problems later
Python Crash Course will teach you just what you need to know to start programming meaningful things quickly.
Uses Python 2 and 3
Jason Briggs
ISBN: 978-1-59327-407-8
344 pages, December 2012, No Starch Press
The code in this book runs on almost anything: Windows, Mac, Linux, even an OLPC laptop or Raspberry Pi!
Python is a powerful, expressive programming language that’s easy to learn and fun to use! But books about learning to program in Python can be kind of dull, gray, and boring, and that’s no fun for anyone.
Python for Kids brings Python to life and brings you (and your parents) into the world of programming. The ever-patient Jason R. Briggs will guide you through the basics as you experiment with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. New terms are defined; code is colored, dissected, and explained; and quirky, full-color illustrations keep things on the lighter side.
Chapters end with programming puzzles designed to stretch your brain and strengthen your understanding. By the end of the book you’ll have programmed two complete games: a clone of the famous Pong and “Mr. Stick Man Races for the Exit”—a platform game with jumps, animation, and much more.
As you strike out on your programming adventure, you’ll learn how to:
- Use fundamental data structures like lists, tuples, and maps
- Organize and reuse your code with functions and modules
- Use control structures like loops and conditional statements
- Draw shapes and patterns with Python’s turtle module
- Create games, animations, and other graphical wonders with tkinter
Why should serious adults have all the fun? Python for Kids is your ticket into the amazing world of computer programming.
For kids ages 10+ (and their parents).
Featuring original artwork by Miran Lipovača!
Bryson Payne
ISBN: 978-1-59327-614-0
336 pages, April 2015, No Starch Press
Teach Your Kids to Code is a parent's and teacher's guide to teaching kids basic programming and problem solving using Python, the powerful language used in college courses and by tech companies like Google and IBM.
Step-by-step explanations will have kids learning computational thinking right away, while visual and game-oriented examples hold their attention. Friendly introductions to fundamental programming concepts such as variables, loops, and functions will help even the youngest programmers build the skills they need to make their own cool games and applications.
Whether you've been coding for years or have never programmed anything at all, Teach Your Kids to Code will help you show your young programmer how to:
- Explore geometry by drawing colorful shapes with Turtle graphics
- Write programs to encode and decode messages, play Rock-Paper-Scissors, and calculate how tall someone is in Ping-Pong balls
- Create fun, playable games like War, Yahtzee, and Pong
- Add interactivity, animation, and sound to their apps
Teach Your Kids to Code is the perfect companion to any introductory programming class or after-school meet-up, or simply your educational efforts at home. Spend some fun, productive afternoons at the computer with your kids—you can all learn something!
Dr. Martin Jones
ISBN: 978-1514376980
246 pages, 2015
Getting started with programming can be an intimidating challenge. Most books and tutorials assume lots of previous knowledge, skip over jargon and new concepts, and use examples that only make sense if you already understand programming.
This book is different. It gives you an introduction to programming in Python from the ground up, starting with tips on installation and setting up your programming environment, and moving through the core parts of the Python language in a logical order. Dr. Jones has drawn on his many years experience teaching programming to produce a book that will guide you through the language step by step in simple terms.
The book doesn't assume any previous knowledge, and introduces fundamental programming concepts like variables, loops and functions using simple terms and easy-to-follow examples that you can run and modify.
The book takes a unique approach to practical exercises. Rather than simply presenting you with the solutions, it shows you how large, complex programs are gradually built up from simple building blocks, explaining the role of every line. You can download the examples and exercise solutions - edit, modify and run them yourself.
Examples and exercise files available at the author's website: Python for complete beginners
Chris Garrard
Manning Publications ISBN: 9781617292149, 400 pages, MEAP Began May 2014
Geospatial data is hard to ignore. Nearly every car, phone, or camera has a GPS sensor, and aerial photos, satellite imagery, and data representing political boundaries, roads, rivers, and streams are available for free download from many websites. Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo.
Geoprocessing with Python teaches you how to use the Python programming language along with free and open source tools to read, write, and process geospatial data. You'll learn how to access available data sets to make maps or perform your own analyses using free and open source tools like the GDAL, Shapely, and Fiona Python modules. You'll master core practices like handling multiple vector file formats, editing and manipulating geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. You'll also learn how to create geospatial data, rather than just consuming it. The book also covers how to manipulate and analyze raster data, such as aerial photographs, satellite images, and digital elevation models.
Chapter one available for free: Introduction
MEAP Available at Manning Publications's Site: Geoprocessing with Python
Algorithms and Programming Course
Guilherme Soares Lima
(2015, 100 pages)
The book is a gentle introtuction to algorithms and programming with Python, specially for those that don't know how to program on any language. It has a progressive approach, it covers most of basic topics like programming logics, repetition structures. It is a small book, but yet a powerful tool for learning. It helps get good orientation from the beginning. It has only 100 pages and it's free.
Fundamentals of Python: First Programs
Ken Lambert
ISBN 13: 978-1-111-82270-5 (2012, 510 pages)
An introduction to programming and problem solving with Python (CS1). Covers algorithmic problem solving, basic data structures, functional design, and object-oriented design. Also includes an introduction to turtle graphics, image processing, GUIs, and networks.
- Introduction.
- Data Types and Expressions.
- Control Statements.
- Strings and Text Files.
- Lists and Dictionaries.
- Design with Functions.
- Simple Graphics and Image Processing.
- Design with Classes.
- Graphical User Interfaces.
- Multithreading, Networks, and Client/Server Programming.
Link to example programs and other information at the author's website.
Fundamentals of Python: Data Structures
Ken Lambert
ISBN 13: 978-1-285-75200-6 (2014, 496 pages)
An introduction to Python with data structures (CS2). Covers the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of space/time tradeoffs of different collections, all within a realistic collection framework.
- Basic Python Programming.
- An Overview of Collections.
- Searching, Sorting, and Complexity Analysis.
- Arrays and Linked Structures.
- Interfaces, Implementations, and Polymorphism.
- Inheritance and Abstract Classes.
- Stacks.
- Queues.
- Lists.
- Trees.
- Sets and Dictionaries.
- Graphs.
Link to example programs and other information at the author's website.
Easy GUI Programming in Python
Ken Lambert
ISBN-13: 978-0-9859567-0-7 (August, 2012, 110 pages, ebook only)
An introduction to GUI programming in Python. Topics include the basics of window layout, widget configuration, and responding to user events. The book uses a toolkit, breezypythongui, to explore GUI concepts and resources within a simple coding framework.
- The Hello World Program
- Windows, Layouts, and Window Components
- Command Buttons and Responding to Events
- Input and Output with Data Fields
- Error Handling and Message Boxes
- The Model/View/Controller Pattern
- Check Buttons, Radio Buttons, and Menus
- Scrolling List Boxes
- Text Areas and File Dialogs
- Dialogs
- Canvases and Graphics Operations
- Responding to Mouse Events in Canvases
Link to example programs and ebook vendor sites at the author's website.
Building Machine Learning Systems with Python
By Willi Richert, Luis Pedro Coelho
ISBN 13: 9781782161400 Packt Publishing 290 pages (July 2013)
Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
- Master Machine Learning using a broad set of Python libraries and start building your own Python-based ML systems
- Covers classification, regression, feature engineering, and much more guided by practical examples
- A scenario-based tutorial to get into the right mind-set of a machine learner (data exploration) and successfully implement this in your new or existing projects
Who this book was written for
This book is for Python programmers who are beginners in machine learning, but want to learn Machine learning. Readers are expected to know Python and be able to install and use open-source libraries. They are not expected to know machine learning, although the book can also serve as an introduction to some Python libraries for readers who know machine learning. This book does not go into the detail of the mathematics behind the algorithms.
This book primarily targets Python developers who want to learn and build machine learning in their projects, or who want to provide machine learning support to their existing projects, and see them getting implemented effectively.
Learning to Program Using Python
Cody Jackson
ISBN: 1461182050 (November 2011, 230 pages)
An introduction to computer programming, using the easy, yet powerful, Python programming language. Python, a cross-platform language used by such organizations as Google and NASA, lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. The core Python language (both versions 2.x and 3.x) is discussed, as well as an introduction to graphical user interface creation.
The ideas covered in this book provide the reader with many major programming topics, applicable to a wide variety of programming languages. After reading this book, the reader should be able to quickly create simple to medium-level programs and be prepared to tackle more complex programming tasks.
The book's website also provides alternative electronic versions for free, without DRM. In addition, source code files for programs shown in the book are also available.
Python 2.6 Text Processing Beginner's Guide
Jeff McNeil
ISBN 13: 978-1-84951-212-1 Packt Publishing 380 pages (December 2010)
The easiest way to learn how to manipulate text with Python:
- The easiest way to learn text processing with Python
- Deals with the most important textual data formats you will encounter
- Learn to use the most popular text processing libraries available for Python
- Packed with examples to guide you through
Learning Python, 5th Edition
(Mark Lutz, O'Reilly Media, June 2013, 1600 pages)
An in-depth, tutorial introduction to Python core language fundamentals, based on 260 live classes taught by the author. This edition is updated to cover both Python 3.X and 2.X. It is specifically based on 3.3 and 2.7, but is applicable to other releases.
Programming Python, 4th Edition
(Mark Lutz, O'Reilly Media, December 2010, 1600 pages)
An in-depth, tutorial introduction to common Python application programming domains, and a follow-up to the core language coverage of Learning Python. This edition is updated to use Python 3.X (3.1 and 3.2 specifically), but is still largely applicable to most 2.X readers.
Python Pocket Reference, 4th Edition
(Mark Lutz, O'Reilly Media, September 2009, 200 pages)
A reference-only book, designed to serve as a companion to both Learning Python and Programming Python. This edition is updated to cover both Python 3.X and 2.X. It is specifically based on 3.1 and 2.6, but is applicable to other releases.
Head First Python by Paul Barry
- Published by: O'Reilly Media, November 2010, 496 pages.
- Print ISBN: 978-1-4493-8267-4, ISBN 10: 1-4493-8267-3
- Ebook ISBN: 978-1-4493-8268-1, ISBN 10: 1-4493-8268-1
Head First Python
Ever wished you could learn Python from a book? Head First Python helps you learn the language through a unique method that goes beyond syntax and how-to manuals. You'll quickly grasp Python's fundamentals, then move on to persistence, exception handling, web development, SQLite, data wrangling, and Google App Engine. You'll also learn how to write mobile apps for Android, all thanks to the power that Python gives you. Head First Python is a complete learning experience that will help you become a bona fide Python programmer.
This book is designed to get you up to speed with Python as quickly as possible.
See http://python.itcarlow.ie and http://www.headfirstlabs.com/books/hfpython/ for more details.
Practical Programming by Jennifer Campbell, Paul Gries, and Jason Montojo
Practical Programming (2nd edition): An Introduction to Computer Science Using Python 3
- ISBN: 978-1-93778-545-1
- 350 pages, August 2013
Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer.
Practical Programming by Jennifer Campbell, Paul Gries, Jason Montojo, and Greg Wilson
Practical Programming: An Introduction to Computer Science Using Python
- ISBN: 978-1-93435-627-2
- 350 pages, Apr 2009
Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer.
Python 3 Object Oriented Programming
Dusty Phillips
ISBN-13: 978-1-849511-26-1 Packt Publishing 404 pages (July 2010)
Harness the power of Python 3 objects:
Overview of Python 3 Object Oriented Programming
- Learn how to do Object Oriented Programming in Python using this step-by-step tutorial
- Design public interfaces using abstraction, encapsulation, and information hiding
- Turn your designs into working software by studying the Python syntax
- Raise, handle, define, and manipulate exceptions using special error objects
- Implement Object Oriented Programming in Python using practical examples
Who this book is written for If you're new to Object Oriented Programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply Object Oriented Programming in Python, this is the book for you.
If you are an object-oriented programmer for other languages, you too will find this book a useful introduction to Python, as it uses terminology you are already familiar with.
Python 2 programmers seeking a leg up in the new world of Python 3 will also find the book beneficial, and you need not necessarily know Python 2.
The Practice of Computing Using Python by Bill Punch and Rich Enbody
- ISBN-10: 0136110673
- ISBN-13: 9780136110675
- Addison-Wesley, 696 pp, 02/25/2010
The Computer Science Department of Michigan State University converted their Introduction to Programming Course CSE 231 to Python in the Fall of 2007. One of the products of this change was this textbook, written as a general introduction to CS1 using Python. The book adopts the theme of "data manipulation" for its examples, focusing on using real-world datasets and manipulating them (averages, graphs, indicies, searches, etc.) in various ways.
The book covers the standard CS1 curriculum, and includes extensive algorithm development sections to help students in their study of computing. Supplemental material is also provided including: full set of power point slides, collaborative lab exercises, project homeworks and solutions to over 600 exercises in the book.
Head First Programming by Paul Barry and David Griffiths
A Learner's Guide to Programming, using the Python Language
- ISBN-10: 0596802374
- ISBN-13: 978-0596802370
- O'Reilly Media
- 440 pages (November 2009)
Ever wished you could learn how to program from a book? If you have no previous programming experience, you might be wondering where to start. Head First Programming introduces the core concepts of writing computer programs--variables, decisions, loops, functions, and objects--which apply regardless of the programming language, but uses concrete examples and exercises in the dynamic and versatile Python language to apply and reinforce these concepts.
Learn the basic tools to start writing the programs that interests you, not the generic software someone else thinks you should have, and get a better understanding of what software can (and cannot) do. When you're finished, you'll have the necessary foundation to apply to whatever language or software project you need or want to learn.
Programming in Python 3: A Complete Introduction to the Python Language (Second Edition) by Mark Summerfield
- ISBN10: 0321680561
- Addison-Wesley Professional
- 648 pages (November 2009)
This book teaches you how to write programs using Python 3 in good Python 3 style.
The book will be useful to people who program professionally as part of their job, whether as full-time software developers, or those from other disciplines, including scientists and engineers, who need to do some programming in support of their work. It will also prove ideal for those Python 2 programmers who need to migrate (or prepare to migrate) to Python 3. The book is also suitable for students—the only prerequisite is some basic knowledge of programming in any language, for example, Basic or Java, or of course Python itself.
The book teaches solid procedural style programming, then builds on that to teach solid object-oriented programming, and then goes on to more advanced topics such as descriptors and class decorators. But even newcomers to Python 3 should be able to write useful (although small and basic) programs after reading chapter 1, and then go on to create larger and more sophisticated programs as they work through the chapters.
The book's web site lists the table of contents and has links to extracts. It also has all the examples and exercise solutions available for download.
Python for Software Design: How to Think Like a Computer Scientist by Allen B. Downey, Olin College of Engineering, Massachusetts
- ISBN-13: 9780521725965)
- Cambridge University Press
- 272 pages (March 2009)
Python for Software Design is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.
Hello World! Computer Programming for Kids and Other Beginners by Warren Sande and Carter Sande
- ISBN10: 1933988495
- Manning Publications
- 488 pages (January 2009)
"Computer programming is a powerful tool for children to 'learn learning,' that is, to learn the skills of thinking and problem-solving...Children who engage in programming transfer that kind of learning to other things."--Nicholas Negroponte, the man behind the One Laptop Per Child project that hopes to put a computer in the hands of every child on earth, January 2008
Your computer won't respond when you yell at it. Why not learn to talk to your computer in its own language? Whether you want to write games, start a business, or you're just curious, learning to program is a great place to start. Plus, programming is fun!
Hello World! provides a gentle but thorough introduction to the world of computer programming. It's written in language a 12-year-old can follow, but anyone who wants to learn how to program a computer can use it. Even adults. Written by Warren Sande and his son, Carter, and reviewed by professional educators, this book is kid-tested and parent-approved. You don't need to know anything about programming to use the book. But you should know the basics of using a computer--e-mail, surfing the web, listening to music, and so forth. If you can start a program and save a file, you should have no trouble using this book.
Color ebook and black and white print book are both available from the publisher at www.manning.com/sande.
Hello Python! by Anthony Briggs
- Foreword by Steve Holden
- 424 pages (February, 2012)
- ISBN 9781935182085
Hello! Python fully covers the building blocks of Python programming and gives you an introduction to more advanced topics such as object-oriented programming, functional programming, network programming, and program design. New (or nearly new) programmers will learn most of what they need to know to start using Python immediately.
A more advanced book than Hello World!, it takes a different tack. You follow along as the author writes a practical project in every chapter. You'll see how programmers think about solving problems with programming, and there are hints on how to extend the projects to suit your own needs.
The Quick Python Book, 2nd edition
- Naomi Ceder
- Manning Publications,
- 335 pages (January 2010)
This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this updated edition covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.
After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. Along the way, you'll survey the current Python development landscape, including GUI programming, testing, database access, and web frameworks.
Review by Jim Kohli, dzone.com
Ebook and print book are both available from the publisher at www.manning.com/ceder.
IronPython in Action by Michael Foord
- ISBN10: 1933988339
- Manning Publications
- 480 pages (March 2009)
IronPython is an implementation of Python for the Microsoft .NET framework, Mono, and the Silverlight and Moonlight browser plugins. IronPython in Action is an introduction to programming with IronPython for both .NET programmers interested in Python and Python programmers new to .NET.
IronPython in Action includes a swift paced Python tutorial, chapters introducing .NET libraries and structured application development with Python, integrating with other .NET languages like C# and VB.NET, server side web programming with ASP.NET and client side web programming with Silverlight, system administration, working with the WPF and Windows Forms user interface libraries and embedding the IronPython engine in .NET applications.
As well as covering specific topics and both Python and .NET libraries the book pays special attention to the nitty-gritty details of Python and .NET integration that previous experience with Python or C# won't necessarily have prepared you for.
Color ebook and black and white print book are both available from the publisher at www.manning.com/foord.
"Beginning Python: From Novice to Professional, Second Edition" Magnus Lie Hetland
ISBN13: 978-1-59059-982-2 Apress Inc, 688 pages (September 2008)
Gain a fundamental understanding of Python’s syntax and features with the second edition of Beginning Python, an up–to–date introduction and practical reference. Covering a wide array of Python–related programming topics, including addressing language internals, database integration, network programming, and web services, you’ll be guided by sound development principles. Ten accompanying projects will ensure you can get your hands dirty in no time.
Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in the forthcoming Python 3.0 (otherwise known as Python 3000), advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.
Home Page (includes electronic version)
Object-Oriented Programming in Python
- Michael H. Goldwasser, David Letscher
This is a textbook for an object-oriented introduction to computer science course (CS1) using Python.
0136150314, Prentice Hall Publishing, 688 pages (October 2007)
An Introduction to Python (version 2.5)
- Guido van Rossum, and Fred L. Drake, Jr. (Editor)
0954161769, Network Theory Ltd, 164 pages (November 2006)
This is a printed edition of the official Python tutorial by Guido van Rossum. For each copy sold $1 will be donated to the Python Software Foundation.
Home Page (includes electronic version)
Python for Dummies (version 2.5)
- Stef Maruch and Aahz Maruch
0471778648, For Dummies, 410 pages (August 2006)
Following the usual Dummies style, this book takes a light-hearted approach to introducing Python. In addition to Python itself, Python for Dummies also gives lots of advice about good programming practices.
Introduction to Computing and Programming Using Python: A Multimedia Approach Mark Guzdial
ISBN: 0131176552 http://coweb.cc.gatech.edu/mediaComp-teach
An introduction to programming by manipulating digital media --- creating negatives and grayscale pictures, splicing sounds, implementing chromakey.
Core Python Programming
- Wesley J. Chun
ISBN: 0132269937 (2nd ed.); 0130260363 (1st ed.)
Prentice Hall PTR / Pearson Education
~1120 pages (Sep 2006); 810 pages (Jan 2001)
The main goal of this book is comprehensively teaching you the core of the Python language, much more than just its syntax (which you don't really need a book to learn, right?). Knowing more about how Python works under the covers, including the relationship between data objects and memory management, will make you a much more effective Python programmer coming out of the gate. The advanced topics chapters are meant as complete intros or "quick dives" into each of those distinct subjects. However, if moving towards those specific areas of development, they are more than enough to get you pointed in the right direction. We would say that the book is 40% introductory, 40% intermediate (in-depth core Python material plus advanced topics chapters), and 20% reference -- it is *not* meant to be a substitute for a pure reference such as the Python Essential Reference or Python in a Nutshell.
The new 2nd edition is expanded (300 new pages!) and updated through Python 2.5 as well as confirmed functionality for future versions! Also added are a few new chapters of advanced material. As in the 1st edition, a plethora of easy to advanced exercises can be found at the end of every chapter to hammer the concepts home. At the moment, this is the most complete and up-to-date Python book on the market today.
From an anonymous reviewer: "Very well written. It is the clearest, friendliest book I have come across yet for explaining Python, and putting it in a wider context. It does not presume a large amount of other experience. It may be too slow for more advanced people, but it does go into some important Python topics carefully and in depth. Unlike too many beginner books, it never condescends or tortures the reader with childish hide-and-seek prose games. Not too many in-depth real-world examples in the book (hopefully he will do a followup volume), it sticks to gaining a solid grasp of Python syntax and structure."
Home Page (includes book reviews, errata, sample chapter, links to alternate editions, source code from the book, and more!)
Links regarding the 1st edition: IBM Developer Works review Linux Journal review Chinese edition O'Reilly Safari electronic edition Indian edition (English) Korean edition Association of C/C++ Users review Python Learning Foundation review Mississippi Python users group (Useless Python) review
Python Programming: An Introduction to Computer Science
- John Zelle
1887902996, Franklin Beedle & Associates, December 2003
This is a textbook for a "traditional" introduction to computer science course (CS1) using Python.
How to Think Like a Computer Scientist: Learning with Python
- Allen Downey, Jeff Elkner and Chris Meyers
0971677506, Green Tea Press 288 pages
How to Think... is a free textbook available under the GNU Free Documentation License. It is a true beginners book. The ebook version is free and available in PDF, HTML and PostScript.
Dive Into Python: Python for Experienced Programmers
- Mark Pilgrim
1590593561, Apress 432 pages
Dive Into Python is a free Python ebook for experienced programmers available under the GNU Free Documentation License. A printed version has been published by Apress http://www.apress.com/, and is available through all major outlets.
Learning Python
- Mark Lutz
0596158068 O'Reilly & Associates, 1216 pages (September 2009)
Learning Python is meant for beginning Python programmers, and others seeking a quick introduction to the language. It focuses on core language fundamentals in depth, is based on Mark Lutz's Python training classes, and includes numerous exercises with solutions to guide the reader through a hands-on learning experience.
O'Reilly's catalog page Author's book page Sample chapters Review of first edition by Phil Hughes in Linux Journal
The Quick Python Book
Daryl Harms, Kenneth McDonald
1884777740, Manning Publications, 275 pages (October 1999)
A clear and concise description of Python aimed at readers who are already familiar with programming in at least one other language.
Two sample chapters Review by Francis Glassborow in _C Vu_ Review by Phil Hughes Review by AMK
A 2nd edition (complete rewrite moving it from Python 1.x to 3.x was published Jan 2010.
Publisher's page for The Quick Python Book, 2nd ed.
Learn to Program Using Python
- Alan Gauld
0201709384, Addison-Wesley, 270 pages (December, 2000)
This book teaches programming in Python to true beginners. It started as a popular Web tutorial, and been expanded into a complete book.
Programming Python (Third Edition)
- Mark Lutz
0596009259, O'Reilly & Associates, 1596 pages (August, 2006)
A Python classic, updated and expanded to cover Python 2.5. The first edition, published in 1996, was the first Python book project to be signed. Programming Python is about what you can do with Python after you've mastered the language fundamentals - it assumes you already know the core language, and focuses on applications programming in gradual tutorial fashion. It is designed to be a natural follow-up to the book Learning Python. This book includes 300 pages on GUIs, 500 on Internet programming, and more on databases, systems programming, text processing, Python/C integration, and other topics. Also available in PDF form from O'Reilly.
O'Reilly's catalog page Author's book page Foreword by Guido van Rossum Review of the first edition by Greg Wilson Review of the first edition by Terry Rooker in ;login: Review of the first edition by Danny Yee
Python Pocket Reference (Third Edition)
- Mark Lutz
0596009402, O'Reilly & Associates, 160 pages (February, 2005)
This handy reference guide summarizes Python statements, built-in functions, escape and formatting codes, and other prominent Python language features.
Python Standard Library
0596000960, O'Reilly & Associates, 250 pages (February 2001)
Based in part on 3,000 newsgroup articles written by Python veteran FredrikLundh over the last four and half years, this book provides sample scripts for all standard modules in the Python library. Also available in German.
Author's book page Electronic edition (archived snapshot)
Web Programming in Python: Techniques for Integrating Linux, Apache, and MySQL
- George K. Thiruvathukal, John Shafaee and Thomas Christopher
0130410659, Prentice Hall, 450 pages (October 2001)
The book has introductory chapters on Python, networking, Apache, Linux, and MySQL. It is a self- contained reference to Python and open-source programming that makes use of Python to develop real applications that are also available under an open source license.
Programming With Python
- Tim Altom with Mitch Chapman,
0761523340, Prima Publishing, (October 1999)
Review by Phil Hughes in Linux Journal Review by Cary Miller
Python Developer's Handbook
- Andre Lessa
0672319942, Sams, 600 pages (December 2000)
Python How to Program
- Harvey M Deitel, Paul J Deitel, Jonathan Liperi, Ben Wiedermann
0130923613, Prentice Hall, 1376 pages (2002)
In the renowned Deitel series "How to Program"
Text Processing in Python
- David Mertz
The free text is available at:
Buy the dead-trees version at:
A review by Danny Yee at: http://dannyreviews.com/h/Text_Python.html
See also: TextProcessingInPython
Python Programming Patterns Thomas Christopher
Prentice-Hall, 2001
ISBN: 0130409561
There's a sample chapter at informIT
Reviews: ACCU review by Francis Glasborow; one of several books in Mertz's book roundup #3
Python First: Introduction to Computing with Python
Atanas Radenski
The 'Python First' digital pack provides a gentle introduction to computer science. It is more than a book: Ten self-contained online chapters consist of e-texts, slides, 62 labs, tens of sample programs, and online quizzes. The 'Python First' pack includes a wealth of detailed self-guided labs that you can complete on your own.
Python 2
Practical Programming (in Python) "Practical Programming (in Python)" is meant as a first programming course and is tightly aligned with the University of Otago introductory programming course called Practical Programming. The textbook is organized into 24 "lectures" that cover all the basics of programming (sequence, selection, iteration, functions etc), plus all the major data structures supplied by Python.
This textbook is a modified version of "How to Think Like a Computer Scientist: Learning with Python 2nd Edition", by Jeffrey Elkner, Allen B. Downey and Chris Meyers.
Books no longer available
How Would Pareto Learn Python!
Python is a very powerful high level object oriented language and has easy bindings with C,C++,Java etc. It can very well be the first and the only language needed by a software tester for routine test automation tasks as well as for building robust general purpose test automation frameworks.
This online book is written keeping beginners in Python in mind. It bridges the gap between very basic tutorials and comprehensive books.
The book is provided for free by Talent Reboot Trainings and Asessments and hosts the online version of the book as a part of its official website.
Read Online Free Version - How Would Pareto Learn Python
CategoryPythonInEducation CategoryDocumentation
Learning Python (Free eBook)
By Fabrizio Romano
ISBN 13: 9781783551712 Packt Publishing 442 pages (December 2015)
Book Overview:
This book goes deeper than simply showing you how to build a Python app, giving you the fundamentals of Python programming that every developer needs to know to make the most of the language. Packed with tutorials and examples this title features everything from data structures, writing reusable code, testing, paradigms, and how Python can be adapted. This free eBook will help transform you from a complete beginner to someone ready to bring the best out of their projects.
- Get Python up and running on Windows, Mac, and Linux in no time
- Grasp the fundamental concepts of coding, along with the basics of data structures and control flow.
- Write elegant, reusable, and efficient code in any situation
- Understand when to use the functional or the object oriented programming approach
- Create bulletproof, reliable software by writing tests to support your code
- Explore examples of GUIs, scripting, data science and web applications
- Learn to be independent, capable of fetching any resource you need, as well as dig deeper
Who this book is written for:
This book is meant for programmers who wants to learn Python programming from a basic to an expert level. The book is mostly self-contained and introduces Python programming to a new reader and can help him become an expert in this trade.
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