The Hacker's Guide to Python – 3rd edition

By Julien Danjou

The Hacker's Guide to Python cover

ISBN 13 978-1-329-98474-5 290 Pages (May 2016)

Book overview:

Who this book is for

This book is aimed at developers who already know Python but wants to learn from more experienced Python developers.

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Learning Python Application Development

Ninad Sathaye

ISBN 13: 9781785889196 Pages 454 (September 2016)

Book Overview:

This book will show you ways to handle such problems and write better Python applications.From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.

Who is this book for:

Do you know the basics of Python and object oriented programming? Do you want to go an extra mile and learn techniques to make your Python application robust, extensible, and efficient? Then this book is for you.

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Building Machine Learning Systems with Python (Free eBook)

Willi Richert, Luis Pedro Coelho

ISBN 13: 9781782161400 290 Pages (July 2013)

Book Overview:

Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail.Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems.

Expand your knowledge of Python data with the power of machine learning with this free and full-featured guide.

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Python: Deeper Insights into Machine Learning

By Sebastian Raschka, David Julian, John Hearty

ISBN 13: 9781787128576 Packt Publishing 901 pages (August 2016)

Course overview:

The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it’s time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems. At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering.

Who this course is written for:

This title is for data scientist and researchers who are already into the field of data science and want to see machine learning in action and explore its real-world application. Prior knowledge of Python programming and mathematics is must with basic knowledge of machine learning concepts.

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Mastering Predictive Analytics with Python

By Joseph Babcock

ISBN 13: 9781785882715 Packt Publishing 334 pages (August 2016)

Book overview:

In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life

Who this course is written for:

This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You’re expected to have basic development experience with Python.

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Python: Journey from Novice to Expert

By Fabrizio Romano, Dusty Phillips, Rick van Hattem

ISBN 13: 9781787120761 Packt Publishing 1311 pages (August 2016)

Course overview:

In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life

Who this course is written for:

This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You’re expected to have basic development experience with Python.

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Learning Python (Free eBook)

By Fabrizio Romano

ISBN 13: 9781783551712 Packt Publishing 442 pages (December 2015)

Course Overview:

This course will take you on a journey from basic programming practices to high-end tools and techniques giving you an edge over your peers. It follows an interesting learning path, divided into three modules. As you complete each one, you’ll have gained key skills and get ready for the material in the next module.The first module will begin with exploring all the essentials of Python programming in an easy-to-understand way. This will lay a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained.

Who this book is written for:

This course is meant for programmers who wants to learn Python programming from a basic to an expert level. The course 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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Large Scale Machine Learning with Python

By Bastiaan Sjardin, Luca Massaron, Alberto Boschetti

ISBN 13: 9781785887215 Packt Publishing 420 pages (August 2016)

Book Overview:

This book takes you all the way to creating a fully fledged application by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. * Get Python up and running on Windows, Mac, and Linux in no time.

If you haven't already started setting up with Python, take advantage of this deal to ensure your Python knowledge is the best it can be.

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Mastering Data Mining with Python – Find patterns hidden in your data

By Megan SquireISBN 13: 9781785889950 Packt Publishing 268 pages (August 2016)

Book overview:

In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get. By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.

Who this book is written for:

This book is for data scientists who are already familiar with some basic data mining techniques such as SQL and machine learning, and who are comfortable with Python. If you are ready to learn some more advanced techniques in data mining in order to become a data mining expert, this is the book for you!

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Data Mining with Python: Implementing Classification and Regression [Video]

By Saimadhu Polamuri

ISBN 13: 9781785885716 Packt Publishing Course Length 2 hours and 3 minutes (July 2016)

Book overview:

In this course, you will discover the key concepts of data mining and learn how to apply different data mining techniques to find the valuable insights hidden in real-world data. You will also tackle some notorious data mining problems to get a concrete understanding of these techniques. We begin by introducing you to the important data mining concepts and the Python libraries used for data mining. You will understand the process of cleaning data and the steps involved in filtering out noise and ensuring that the data available can be used for accurate analysis. You will also build your first intelligent application that makes predictions from data. Then you will learn about the classification and regression techniques such as logistic regression, k-NN classifier, and SVM, and implement them in real-world scenarios such as predicting house prices and the number of TV show viewers.

By the end of this course, you will be able to apply the concepts of classification and regression using Python and implement them in a real-world setting.

Who this book is written for:

This is an ideal course for the beginners who are willing to step into data mining field.

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Python Data Analysis Cookbook

By Ivan Idris

ISBN 13: 9781785282287 Packt Publishing 462 pages (July 2016)

Book overview:

Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You’ll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code.

By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.

Who this book is written for:

This book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed.

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Mastering Social Media Mining with Python

By Marco Bonzanini

ISBN 13: 9781783552016 Packt Publishing 338 (July 2016)

Book overview:

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. * Interact with a social media platform via their public API with Python

Who this book is written for:

This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data.

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Advanced Machine Learning with Python

By John Hearty

ISBN 13: 9781784398637 Packt Publishing 278 (July 2016)

Book overview:

Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms

Who this book is written for:

This title is for 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. If you’ve ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful.

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Python Machine Learning Blueprints

By Alexander T. Combs

ISBN 13: 9781784394752 Packt Publishing 332 (July 2016)

Book overview:

Machine Learning is transforming the way we understand and interact with the world around us. But how much do you really understand it? How confident are you interacting with the tools and models that drive it? Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice. You’ll learn how to use cluster techniques to discover bargain air fares, and apply linear regression to find yourself a cheap apartment – and much more. Everything you learn is backed by a real-world example, whether its data manipulation or statistical modelling. That way you’re never left floundering in theory – you’ll be simply collecting and analyzing data in a way that makes a real impact. * Explore and use Python's impressive machine learning ecosystem

Who this book is written for:

Python programmers and data scientists - put your skills to the test with this practical guide dedicated to real-world machine learning that makes a real impact.

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Machine Learning for the Web

By Andrea Isoni

ISBN 13: 9781785886607 Packt Publishing 298 (July 2016)

Book overview:

Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python’s impressive Django framework and will find out how to build a modern simple web app with machine learning features. * Get familiar with the fundamental concepts and some of the jargons used in the machine learning community

Who this book is written for:

The book is aimed at upcoming and new data scientists who have little experience with machine learning or users who are interested in and are working on developing smart (predictive) web applications. Knowledge of Django would be beneficial. The reader is expected to have a background in Python programming and good knowledge of statistics.

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Effective Python Penetration Testing

By Rejah Rehim

ISBN 13: 9781785280696 Packt Publishing 164 (June 2016)

Book overview:

Penetration testing is a practice of testing a computer system, network or web application to find weaknessess in security that an attacker can exploit. Effective Python Penetration Testing will help you utilize your Python scripting skills to safeguard your networks from cyberattacks. We will begin by providing you with an overview of Python scripting and penetration testing. You will learn to analyze network traffic by writing Scapy scripts and will see how to fingerprint web applications with Python libraries such as ProxMon and Spynner. Moving on, you will find put how to write basic attack scripts, and will develop debugging and reverse engineering skills with Python libraries. Towards the end of the book, you will discover how to utilize cryptography toolkits in Python and how to automate Pthon tools and libraries.

Who this book is written for:

This book is ideal for those who are comfortable with Python or a similar language and need no help with basic programming concepts, but want to understand the basics of penetration testing and the problems pentesters face.

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Mastering Natural Language Processing with Python

By Deepti Chopra, Nisheeth Joshi, Iti Mathur

ISBN 13: 9781783989041 Packt Publishing 238 pages (June 2016)

Book overview:

This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK. You will sequentially be guided through applying machine learning tools to develop various models. We’ll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution.

Who this book is written for:

This book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python.

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Mastering Python Data Analysis

By Magnus Vilhelm Persson, Luiz Felipe Martins

ISBN 13: 9781783553297 Packt Publishing 284 pages (June 2016)

Book overview:

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.

Who this book is written for:

This book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python.

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Python: Real-World Data Science

By Dusty Phillips

ISBN 13: 9781786465160 Packt Publishing 1255 pages (June 2016)

Course overview:

The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you’ll have gained key skills and be ready for the material in the next module.

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Learning Predictive Analytics with Python

By Ashish Kumar

ISBN 13: 9781783983261 Packt Publishing 354 pages (February 2016)

Book overview:

This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. With the balance of both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. You’ll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.

Who this book is written for:

If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. If you are familiar with coding in Python (or some other programming/statistical/scripting language) but have never used or read about Predictive Analytics algorithms, this book will also help you. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite.

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Expert Python Programming – Second Edition

By Michał Jaworski, Tarek Ziadé

ISBN 13: 9781785886850 Packt Publishing 536 pages (May 2016)

Book overview:

The focus of the book is to familiarize you with common conventions, best practices, useful tools and standards used by python professionals on a daily basis when working with code.You will begin with knowing new features in Python 3.5 and quick tricks for improving productivity. Next, you will learn advanced and useful python syntax elements brought to this new version. Using advanced object-oriented concepts and mechanisms available in python, you will learn different approaches to implement metaprogramming. You will learn to choose good names, write packages, and create standalone executables easily. You will also be using some powerful tools such as buildout and vitualenv to release and deploy the code on remote servers for production use. Moving on, you will learn to effectively create Python extensions with C, C++, cython, and pyrex. The important factors while writing code such as code management tools, writing clear documentation, and test-driven development are also covered. You will now dive deeper to make your code efficient with general rules of optimization, strategies for finding bottlenecks, and selected tools for application optimization.

By the end of this book, you will be able to be an expert in writing efficient and maintainable code.

Who this book is written for:

The book would appeal to web developers and Python programmers who want to start using version 3.5 and write code efficiently. Basic knowledge of Python programming is expected.

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Internet of Things with Python

By Gastón C. Hillar

ISBN 13: 9781785881381 Packt Publishing 388 pages (May 2016)

Book overview:

This book lets you stay at the forefront of cutting-edge research on IoT. We'll open up the possibilities using tools that enable you to interact with the world, such as Intel Galileo Gen 2, sensors, and other hardware. You will learn how to read, write, and convert digital values to generate analog output by programming Pulse Width Modulation (PWM) in Python. You will get familiar with the complex communication system included in the board, so you can interact with any shield, actuator, or sensor. Later on, you will not only see how to work with data received from the sensors, but also perform actions by sending them to a specific shield. You'll be able to connect your IoT device to the entire world, by integrating WiFi, Bluetooth, and Internet settings. With everything ready, you will see how to work in real time on your IoT device using the MQTT protocol in python. By the end of the book, you will be able to develop IoT prototypes with Python, libraries, and tools.

Who this book is written for:

The book is ideal for Python developers who want to explore the tools in the Python ecosystem in order to build their own IoT applications and work on IoT-related projects. It is also a very useful resource for developers with experience in other programming languages that want to easily prototype IoT applications with the Intel Galileo Gen 2 board.

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Python Geospatial Development - Third Edition

By Erik Westra

ISBN 13: 9781785288937 Packt Publishing 446 pages (May 2016)

Book overview:

This book provides an overview of the major geospatial concepts, data sources, and toolkits. It starts by showing you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Further on, the book teaches you how to build your own slippy map interface within a web application, and finishes with the detailed construction of a geospatial data editor using the GeoDjango framework.By the end of this book, you will be able to confidently use Python to write your own geospatial applications ranging from quick, one-off utilities to sophisticated web-based applications using maps and other geospatial data.

Who this book is written for:

This book is for experienced Python developers who want to learn about geospatial concepts, obtain and work with geospatial data, solve spatial problems, and build sophisticated map-based applications using Python.

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Mastering IPython 4.0

By Thomas Bitterman

ISBN 13: 9781785888410 Packt Publishing 382 pages (May 2016)

Book overview:

This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.

Who this book is written for:

This book is for IPython deelopers who want to make the most of IPython and perform advanced scientific computing with IPython utilizing the ease of interactive computing. It is ideal for users who wish to learn about the interactive and parallel computing properties of IPython 4.0, along with its integration with third-party tools and concepts such as testing and documenting results.

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Practical Machine Learning

By Sunila Gollapudi

ISBN 13: 9781784399689 Packt Publishing 468 pages (January 2016)

Book overview:

This book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. Inside, a full exploration of the various algorithms gives you high-quality guidance so you can begin to see just how effective machine learning is at tackling contemporary challenges of big data.

Who this book is written for:

This book has been created for data scientists who want to see machine learning in action and explore its real-world application. With guidance on everything from the fundamentals of machine learning and predictive analytics to the latest innovations set to lead the big data revolution into the future, this is an unmissable resource for anyone dedicated to tackling current big data challenges. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately.

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Mastering Python

By Rick van Hattem

ISBN 13: 9781785289729 Packt Publishing 486 pages (April 2016)

Book overview:

This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers.

Who this book is written for:

Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you.

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Distributed Computing with Python

By Francesco Pierfederici

ISBN 13: 9781785889691 Packt Publishing 170 pages (April 2016)

Book overview:

This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task.

Who this book is written for:

This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.

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Designing Machine Learning Systems with Python

By David Julian

ISBN 13: 9781785882951 Packt Publishing 232 pages (April 2016)

Book overview:

Who this book is written for:

This book is for data scientists, scientists, or just the curious.

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Flask By Example

By Gareth Dwyer

ISBN 13: 9781785286933 Packt Publishing 276 Pages (March 2016)

Book overview:

Who this book is for

This book is aimed at developers and hobbyists who have some knowledge of Python but no knowledge of the micro-framework Flask.

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Learning Python Web Penetration Testing -Video Course

By Christian Martorella

ISBN 13: 9781785280351 Packt Publishing 2 hours and 50 minutes (March 2016)

Video Course overview:

Who this video course is for

This video is for web developers who want to step into the web application security testing world. Familiarity with Python is essential, but not to an expert level.

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Learning Cython Programming - Second Edition

By Philip Herron

ISBN 13: 9781783551675 Packt Publishing 110 pages (February 2016)

Book overview:

This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers.

Who this book is for

This book is for developers who are familiar with the basics of C and Python programming and wish to learn Cython programming to extend their applications.

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Web API Development with Flask-Video Course

By Gergo Bogdan

ISBN 13: 9781783551750 Packt Publishing 1 hour and 40 minutes (February 2016)

Video Course overview:

Who this video course is for

This video is for web developers who want to build RESTful web APIs using Flask with Python.Developers should be familiar with Python and basic web concepts, such as HTTP verbs and JSON, and should possess basic database knowledge in order to understand SQLAlchemy concepts.

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Regression Analysis with Python

By Luca Massaron, Alberto Boschetti

ISBN 13: 9781785286315 Packt Publishing 312 pages (February 2016)

Book overview:

Who this book is written for

The book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science.

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Deep Learning with Python-Video Course

By Eder Santana

ISBN 13: 9781785883873 Packt Publishing 1 Hour 45 Minutes (February 2016)

Video Course overview:

Who this video course is for

This course is for developers looking for free, open source deep learning solutions for media (image and text) classification. It is also aimed for senior undergrad and first year grad students beginning in the field of Deep Learning.

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Learning Predictive Analytics with Python

By Ashish Kumar

ISBN 13: 9781783983261 Packt Publishing 354 pages (February 2016)

Book overview:

Who this book is written for

If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you

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Learning Python Design Patterns - Second Edition

By Chetan Giridhar

ISBN 13: 9781785888038 Packt Publishing 164 pages (February 2016)

Book overview:

Who this book is written for

This book is written for intermediate Python programmers.

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PySide GUI Application Development - Second Edition

By Gopinath Jaganmohan, Venkateshwaran Loganathan

ISBN 13: 9781785282454 Packt Publishing 144 pages (January 2016)

Book overview:

Who this book is written for

This book is written for Python programmers who want to learn about GUI programming.

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Geospatial Development By Example with Python

By Pablo Carreira

ISBN 13: 9781785282355 Packt Publishing 340 pages (January 2016)

Book overview:

Who this book is written for

Geospatial Development By Example with Python is intended for beginners or advanced developers in Python who want to work with geographic data.

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Getting Started with Python and Raspberry Pi

By Dan Nixon

ISBN 13: 9781783551590 Packt Publishing 200 pages (September 2015)

Book overview:

Who this book is written for

This book is designed for those who are unfamiliar with the art of Python development and want to get to know their way round the language and the many additional libraries that allow you to get a full application up and running in no time.

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Learning Python

By Fabrizio Romano

ISBN 13: 9781783551712 Packt Publishing 442 pages (December 2015)

Book overview:

Who this book is written for

Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need.

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Learning Geospatial Analysis with Python - Second Edition

By Joel Lawhead

ISBN 13: 9781783552429 Packt Publishing 394 pages (December 2015)

Book overview:

Who this book is written for

If you are a Python developer, researcher, or analyst who wants to perform Geospatial, modeling, and GIS analysis with Python, then this book is for you.

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Python Unlocked

By Arun Tigeraniya

ISBN 13: 9781785885990 Packt Publishing 172 pages (December 2015)

Book overview:

Who this book is written for

If you are a Python developer and you think that you don’t know everything about the language yet, then this is the book for you.

Publisher's page


wxPython Application Development Cookbook

By Cody Precord

ISBN 13: 9781785287732 Packt Publishing 264 pages (December 2015)

Book overview:

Who this book is written for

For those who are familiar with programming in Python and want to start building applications with graphical user interfaces, this book will get you up and running quickly.

Publisher's page


Spark for Python Developers

By Amit Nandi

ISBN 13: 9781784399696 Packt Publishing 206 pages (December 2015)

Book overview:

Who this book is written for

This book is for data scientists and software developers with a focus on Python who want to work with the Spark engine, and it will also benefit Enterprise Architects.

Publisher's page


Python Business Intelligence Cookbook

By Robert Dempsey

ISBN 13: 9781785287466 Packt Publishing 202 pages (December 2015)

Book overview:

Who this book is written for

This book is intended for data analysts, managers, and executives with a basic knowledge of Python, who now want to use Python for their BI tasks.

Publisher's page


Building Python Real time Applications with Storm

By Kartik Bhatnagar, Barry Hart

ISBN 13: 9781784392857 Packt Publishing 122 pages (December 2015)

Book overview:

Who this book is written for

This book is intended for Python developers who want to benefit from Storm’s real-time data processing capabilities.

Publisher's page


Python GUI Programming Cookbook

By Burkhard A. Meier

ISBN 13: 9781785283758 Packt Publishing 350 pages (December 2015)

Book overview:

Who this book is written for

If you are a Python programmer with intermediate level knowledge of GUI programming and want to learn how to create beautiful, effective, and responsive GUIs using the freely available Python GUI frameworks, this book is for you.

Publisher's page


Python for Secret Agents - Second Edition

By Steven Lott

ISBN 13: 9781785283406 Packt Publishing 180 pages (December 2015)

Book overview:

Who this book is written for

This book is for Secret Agents who have some exposure to Python.

Publisher's page


Python Geospatial Analysis Cookbook

By Michael Diener

ISBN 13: 9781783555079 Packt Publishing 310 pages (November 2015)

Book overview:

Who this book is written for

If you are a student, teacher, programmer, geospatial or IT administrator, GIS analyst, researcher, or scientist looking to do spatial analysis, then this book is for you.

Publisher's page


Getting Started with Python Data Analysis

By Phuong Vo.T.H, Martin Czygan

ISBN 13: 9781785285110 Packt Publishing 188 pages (November 2015)

Book overview:

Who this book is written for

If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to the python data analysis libraries, then this book is for you.

Publisher's page


Python Data Visualization Cookbook - Second Edition

By Igor Milovanović, Dimitry Foures, Giuseppe Vettigli

ISBN 13: 9781784396695 Packt Publishing 302 pages (November 2015)

Book overview:

Who this book is written for

If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you.

Publisher's page


Python Data Science Cookbook

By Gopi Subramanian

ISBN 13: 9781784396404 Packt Publishing 438 pages (November 2015)

Book overview:

Who this book is written for

This book is intended for all levels of Data Science professionals, both students and practitioners, starting from novice to experts. Novices can spend their time in the first five chapters getting themselves acquainted with Data Science.

Publisher's page


Web Scraping with Python

By Richard Penman

ISBN 13: 9781782164364 Packt Publishing 174 pages (October 2015)

Book overview:

Who this book is written for

This book is aimed at developers who want to use web scraping for legitimate purposes. Prior programming experience with Python would be useful but not essential.

Publisher's page


Python Playground

Mahesh Venkitachalam

ISBN: 978-1-59327-604-1

352 pages, October 2015, No Starch Press

Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?

Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of real-world phenomena, and interact with hardware like the Arduino and Raspberry Pi. You’ll learn to use common Python tools and libraries like numpy, matplotlib, and pygame to do things like:

Programming shouldn’t be a chore. Have some solid, geeky fun with Python Playground.

The projects in this book are compatible with both Python 2 and 3.


Mastering Python Forensics

By Dr. Michael Spreitzenbarth, Dr. Johann Uhrmann

ISBN 13: 9781783988044 Packt Publishing 192 pages (October 2015)

Book overview:

Who this book is written for

If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you.

Publisher's page


Mastering Python - Video Course

By Daniel Arbuckle

ISBN 13: 9781783988969 Packt Publishing 2 Hours 35 Minutes (April 2015)

Video Course overview:

Who this video course is for

If you are a programmer who is familiar with the basics of Python and you want to broaden your knowledge base to develop projects better and faster, this course is for you.

Publisher's page


Mastering Python Data Visualization

By Kirthi Raman

ISBN 13: 9781783988327 Packt Publishing 372 pages (October 2015)

Book overview:

Who this book is written for

If you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you.

Publisher's page


Mastering Probabilistic Graphical Models with Python

By Kiran R Karkera

ISBN 13: 9781783289004 Packt Publishing 172 pages (June 2014)

Book overview:

Who this book is written for

If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you.

Publisher's page


Learning Penetration Testing with Python

By Christopher Duffy

ISBN 13: 9781785282324 Packt Publishing 314 pages (September 2015)

Book overview:

Who this book is written for

If you are a security professional or researcher, with knowledge of different operating systems and a conceptual idea of penetration testing, and you would like to grow your knowledge in Python, then this book is ideal for you.

Publisher's page


Python Machine Learning

By Sebastian Raschka

ISBN 13: 9781783555130 Packt Publishing 454 pages (September 2015)

Book overview:

Who this book is written for

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

Publisher's page


Python Game Programming By Example

By Alejandro Rodas de Paz, Joseph Howse

ISBN 13: 9781785281532 Packt Publishing 230 pages (September 2015)

Book overview:

Who this book is written for

If you have ever wanted to create casual games in Python and you would like to explore various GUI technologies that this language offers, this is the book for you.

Publisher's page


Mastering Python High Performance

By Fernando Doglio

ISBN 13: 9781783989300 Packt Publishing 260 pages (September 2015)

Book overview:

Who this book is written for

If you're a Python developer looking to improve the speed of your scripts or simply wanting to take your skills to the next level, then this book is perfect for you.

Publisher's page


Mastering Python Scientific Computing

By Hemant Kumar Mehta

ISBN 13: 9781783288823 Packt Publishing 300 pages (September 2015)

Book overview:

Who this book is written for

If you are a Python programmer and want to get your hands on scientific computing, this book is for you

Publisher's page


Python 3 Object-oriented Programming - Second Edition

By Dusty Phillips

ISBN 13: 9781784398781 Packt Publishing 460 pages (August 2015)

Book overview:

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 to design software, this is the book for you.

Publisher's page


Python Parallel Programming Cookbook

By Giancarlo Zaccone

ISBN 13: 9781785289583 Packt Publishing 286 pages (August 2015)

Book overview:

Who this book is written for

Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code.

Publisher's page


Mastering Python for Data Science

By Samir Madhavan

ISBN 13: 9781784390150 Packt Publishing 294 pages (August 2015)

Book overview:

Who this book is written for

If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed.

Publisher's page


Learning Data Mining with Python

By Robert Layton

ISBN 13: 9781784396053 Packt Publishing 344 pages (July 2015)

Book overview:

Who this book is written for

If you are a programmer who wants to get started with data mining, then this book is for you.

Publisher's page


QGIS Python Programming Cookbook

By Joel Lawhead

ISBN 13: 9781783984985 Packt Publishing 340 pages (March 2015)

Book overview:

Who this book is written for

If you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you.

Publisher's page


Python Essentials

By Steven F. Lott

ISBN 13: 9781784390341 Packt Publishing 298 pages (June 2015)

Book overview:

Who this book is written for

This book is designed for Python 2 developers who want to get to grips with Python 3 in a short period of time.

Publisher's page


Learning Python Network Programming

By Dr. M. O. Faruque Sarker, Sam Washington

ISBN 13: 9781784396008 Packt Publishing 320 pages (June 2015)

Book overview:

Who this book is written for

If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you.

Publisher's page


Bioinformatics with Python Cookbook

By Tiago Antao

ISBN 13: 9781782175117 Packt Publishing 306 pages (June 2015)

Book overview:

Who this book is written for

If you have intermediate-level knowledge of Python and are well aware of the main research and vocabulary in your bioinformatics topic of interest, this book will help you develop your knowledge further.

Publisher's page


Python Web Penetration Testing Cookbook

By Cameron Buchanan et al.

ISBN 13: 9781784392932 Packt Publishing 224 pages (June 2015)

Book overview:

Who this book is written for

This book is for testers looking for quick access to powerful, modern tools and customizable scripts to kick-start the creation of their own Python web penetration testing toolbox.

Publisher's page


Python Geospatial Analysis Essentials

By Erik Westra

ISBN 13: 9781782174516 Packt Publishing 200 pages (June 2015)

Book overview:

Who this book is written for

If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you.

Publisher's page


Python Requests Essentials

By Rakesh Vidya Chandra, Bala Subrahmanyam Varanasi

ISBN 13: 9781784395414 Packt Publishing 134 pages (June 2015)

Book overview:

Who this book is written for

If you are a Python administrator or developer interested in interacting with web APIs and have a passion for creating your own web applications, this is the book for you.

Publisher's page


Python Geospatial Development Essentials

By Karim Bahgat

ISBN 13: 9781782175407 Packt Publishing 192 pages (June 2015)

Book overview:

Who this book is written for

This book is ideal for Python programmers who are tasked with or wish to make a special-purpose GIS application.

Publisher's page


Test-Driven Python Development

By Siddharta Govindaraj

ISBN 13: 9781783987924 Packt Publishing 264 pages (April 2015)

Book overview:

Who this book is written for

This book is intended for Python developers who want to use the principles of test-driven development (TDD) to create efficient and robust applications.

Publisher's page


Mastering Python for Finance

By James Ma Weiming

ISBN 13: 9781784394516 Packt Publishing 340 pages (April 2015)

Book overview:

Who this book is written for

If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you.

Publisher's page


Building Machine Learning Systems with Python - Second Edition

By Luis Pedro Coelho, Willi Richert

ISBN 13: 9781784392772 Packt Publishing 326 pages (March 2015)

Book overview:

Who this book is written for

This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems.

Publisher's page


ArcPy and ArcGIS: Geospatial Analysis with Python

By Silas Toms

ISBN 13: 9781783988662 Packt Publishing 224 pages (February 2015)

Book overview:

Who this book is written for

If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you.

Publisher's page


Functional Python Programming

By Steven F. Lott

ISBN 13: 9781784396992 Packt Publishing 360 pages (January 2015)

Book overview:

Who this book is written for

If you’re a Python developer who wants to discover how to take the power of functional programming and bring it into your own programs then this book is essential for you, even if you know next to nothing about the paradigm.

Publisher's page


Mastering Python Design Patterns

By Sakis Kasampalis

ISBN 13: 9781783989324 Packt Publishing 212 pages (January 2015)

Book overview:

Who this book is written for

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python.

Publisher's page


Python for Google App Engine

By Massimiliano Pippi

ISBN 13: 9781784398194 Packt Publishing 198 pages (January 2015)

Book overview:

Who this book is written for

If you are a Python developer, whether you have experience in web applications development or not, and want to rapidly deploy a scalable backend service or a modern web application on Google App Engine, then this book is for you.

Publisher's page


Python Data Science Essentials

By Alberto Boschetti, Luca Massaron

ISBN 13: 9781785280429 Packt Publishing 258 pages (April 2015)

Book overview:

Who this book is written for

If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science.

Publisher's page


Learning Robotics Using Python

By Lentin Joseph

ISBN 13: 9781783287536 Packt Publishing 330 pages (May 2015)

Book overview:

Who this book is written for

If you are an engineer, a researcher, or a hobbyist, and you are interested in robotics and want to build your own robot, this book is for you.

Publisher's page


Python Penetration Testing Essentials

By Mohit

ISBN 13: 9781784398583 Packt Publishing 178 pages (January 2015)

Book overview:

Who this book was written for

If you are a Python programmer or a security researcher who has basic knowledge of Python programming and want to learn about penetration testing with the help of Python, this book is ideal for you.

Publisher's page


Mastering Python Regular Expressions

By Félix López, Víctor Romero

ISBN 13: 9781783283156 Packt Publishing 110 pages (February 2014)

Book overview:

Who this book was written for

This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding.

Publisher's page


Python in Practice

By Mark Summerfield

ISBN 13: 978-0321905635 Addison-Wesley Professional 336 pages (Aug 2013)

This book is aimed at existing Python programmers who want to take their Python programming to the next level.

The book is entirely Python 3-based and the topics it covers include Design Patterns in Python, Concurrency, Extending Python, High-Level Networking, GUI Programming with Tkinter, and 3D Graphics.

The complete table of contents, a link to a free PDF of chapter 1, as well as free downloads of all the book's examples are available from the book's web page.


Python Geospatial Development - Second Edition

By Erik Westra

ISBN 13: 9781782161523 Packt Publishing 508 pages (May 2013)

Learn to build sophisticated mapping applications from scratch using Python tools for geospatial development

Who this book was written for

Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build map-based applications.

This book will be useful those who want to get up to speed with Open Source GIS in order to build GIS applications or integrate Geo-Spatial features into their existing applications.

Publisher's page


Python Testing Cookbook

By Greg L. Turnquist

ISBN 13: 978-1-84951-466-8 Packt Publishing 380 pages (May 2011)

Over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools

Who this book was written for

Python developers and programmers with a basic understanding of Python and Python testing will find this cookbook beneficial. It will build on that basic knowledge equipping you with the intermediate and advanced skills required to fully utilize the Python testing tools. Broken up into lots of small code recipes, you can read this book at your own pace, whatever your experience. No prior experience of automated testing is required.

Publisher's page


Python 3 Web Development Beginner's Guide

By Michel Anders

ISBN 13: 978-1-84951-374-6 Packt Publishing 396 pages (May 2011)

Use Python to create, theme, and deploy unique web applications:

Who this book is written for

Moderately experienced Python programmers who want to learn how to create fairly complex, database-driven, cross browser compatible web apps that are maintainable and look good will find this book of most use. All key technologies except for Python 3 are explained in detail.

Publisher's page


Porting to Python 3

ISBN 13: 978-1-4564-11510 Colliberty, 138 pages (February 2011)

This book guides you through the process of porting your Python 2 code to Python 3, from choosing a porting strategy to solving your distribution issues. Using plenty of code examples is takes you cross the hurdles and shows you the new Python features.

Official book site


Making Games with Python & Pygame

ISBN 13: 978-1469901732 Createspace, 364 pages (January 2012)

“Making Games with Python & Pygame” covers the Pygame library with the source code for 11 games. The games are clones of classics such as Nibbles, Tetris, Simon, Bejeweled, Othello, Connect Four, Flood It, and others.

The book and the programs are open source, and are available under a Creative Commons Attribution-Noncommercial-Share Alike license, meaning they are free to copy and distribute.

Full book contents online


Python Geospatial Development

ISBN 13: 978-1-84951-154-4 Packt Publishing, 508 pages (December 2010)

Build a complete and sophisticated mapping application from scratch using Python tools for GIS development:

Publisher's page


Python 2.6 Graphics Cookbook

ISBN 13: 978-1-84951-384-5 Packt Publishing, 260 pages (November 2010)

Over 100 great recipes for creating and animating graphics using Python:

Publisher's page


Python Text Processing with NLTK 2.0 Cookbook

ISBN-13: 978-1-84951-360-9 Packt Publishing, 272 pages (November 2010)

Use Python's NLTK suite of libraries to maximize your Natural Language Processing capabilities:

Publisher's page


MySQL for Python

ISBN-13: 978-1-849510-18-9 Packt Publishing, 440 pages (September 2010)

Integrate the flexibility of Python and the power of MySQL to boost the productivity of your Python applications:

Publisher's page


Python 3 Object Oriented Programming

ISBN-13: 978-1-849511-26-1 Packt Publishing, 404 pages (July 2010) eBook available

The book teaches when and how OOP should be correctly applied. It emphasizes not only the simple syntax of OOP in Python, but also how to combine these objects into well-designed software.


Pro Python

ISBN-13: 978-1-4302-2757-1 Apress, 368 pages (June 2010)

This book is for intermediate to advanced Python programmers who are looking to understand how and why Python works the way it does and how they can take their code to the next level. eBook available


Python Testing: Beginner's Guide

ISBN-13: 978-1-847198-84-6 Packt Publishing, 256 pages (January 2010)

An easy and convenient approach to testing your powerful Python projects:

Publisher's page


Python Cookbook

0596001673 O'Reilly (July 2002)

This book is a handy collection of snippets and examples on a wide variety of topics. It ranges from built-in data structures and text processing to GUI and Web programming. It is useful as a "how do I do that?" reference and also as a way to learn Python idioms and tricks.

Home page

There is a 2nd edition covering Python 2.3 & 2.4 with many new and updated recipes:

O'Reilly (March 2005)


Data Structures and Algorithms with Object-Oriented Design Patterns in Python

An online book that demonstrates many different algorithms using examples in Python.

Remember, though, that the book is still a work in progress. So be prepared to find some code bits that are more C++ish than they are Pythonic.


Getting Started with Pyparsing

O'Reilly (October 2007)

A detailed introduction to Pyparsing, a pure-Python module for developing recursive descent parsers. This book is downloadable as a PDF, including topics such as:

Publisher's page O'Reilly Short Cut


Expert Python Programming

ISBN-13: 978-1-84719-494-7 Packt Publishing. 376 pages (September 2008)

Best practices for designing, coding, and distributing your Python software:

Publisher's page

Author's page about the book, with code and extra content


Foundations of Agile Python Development

ISBN13: 978-1-59059-981-5 Apress Inc, 416 pages (June 2008)

You’ve long been enamored with the Python language, and have mastered its many nuances. Yet something seems to be missing—a productivity boost that you know is possible but you’re not sure how to go about it. This was the sentiment of so many developers before discovering Agile programming paradigm, which embraces concepts such as automation, effective code management, and test–driven development.

Foundations of Agile Python Development is the first book to apply these sought–after principles to Python developers, introducing both the tools and techniques built and supported by the Python community. Authored by Jeff Younker, a well–known member of Python’s agile community who is perhaps best known for his creation of a popular Python testing framework, this book is sure to be a hit among readers who may have reached their limits of knowledge regarding the Python language, yet are seeking to improve their understanding of how sound processes can boost productivity to unparalleled heights.

Home Page (includes electronic version)


Beginning Game Development with Python and Pygame

ISBN13: 978-1-59059-872-6 Apress Inc, 316 pages (October 2007)

Like music and movies, video games are rapidly becoming an integral part of our lives. Over the years, you’ve yearned for every new gaming console, mastered each blockbuster within weeks after its release, and have even won a local gaming competition or two. But lately you’ve been spending a lot of time thinking about a game idea of your own, or are exploring the possibility of making a career of this vibrant and growing industry. But where should you begin?

Beginning Game Development with Python and Pygame is written with the budding game developer in mind, introducing games development through the Python programming language and the popular Pygame games development library. Authored by industry veteran and Python expert Will McGugan, who most recently worked on the MotorStorm game for Play Station 3, you’ll be privy to insights that will not only help you to exploit PyGame to its maximum potential, but also make you a more creative and knowledgeable games developer all round.

Home Page (includes electronic version)


Foundations of Python Network Programming

ISBN13: 978-1-59059-371-4 Apress Inc, 536 pages (August 2004)

To guide readers through the new scripting language, Python, this book discusses every aspect of client and server programming. And as Python begins to replace Perl as a favorite programming language, this book will benefit scripters and serious application developers who want a feature-rich, yet simple language, for deploying their products.

The text explains multitasking network servers using several models, including forking, threading, and non-blocking sockets. Furthermore, the extensive examples demonstrate important concepts and practices, and provide a cadre of fully-functioning stand alone programs. Readers may even use the provided examples as building blocks to create their own software.

Home Page (includes electronic version)


Design Patterns in Python

Design Patterns in Python is a free online/downloadable book about learning design patterns through the medium of Python language.

If you are a tester interested in design of test automation frameworks or thinking about how a single test automation problem could be solved in different ways, this book would prove to be very useful.

If you are new to design patterns being a programmer or you want to explore OOP in Python further, this text provides the first building blocks.

The book is provided for free by Talent Reboot Trainings and Assessments that hosts the online version of the book as a part of its official website. A downloadable version is also available, but the online version would be the most current at any point in time.

Book's Home page: Design Patterns in Python


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.

Links: author, publisher.


Thinking in Python

ISBN: none yet Mindview, Inc. (December 2001)

Bruce Eckel's python version of his "Thinking In..." series, and is freely downloadable (see below). He's got some cool python stuff not generally covered elsewhere, including the use of design patterns.

This is not an introductory Python book. This book assumes you've learned the basics of Python elsewhere. The current version of the book is 0.1.2. This is still a preliminary release, and Bruce needs feedback. The html has a built-in comments system.

Home page

Note: The above book has been abandoned (not updated since 2001), Bruce is now writing another book on advanced Python, the working title of which is "Python 3 Patterns & Idioms". Bruce is building upon the 'good bits' from "Thinking in Python" and welcomes community collaboration in developing the book!

More information available here


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