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[[https://www.packtpub.com/packt/free-ebook/python-raspberry-pi-cookbook|Raspberry Pi Cookbook for Python Programmers]]''' (Free eBook) '''

Tim Cox

ISBN 13: 9781849696623 402 Pages (April 2014)

'''Book Overview:'''

Raspberry Pi Cookbook for Python Programmers is a practical guide for getting the most out of this little computer. It will guide you through the many uses of the Raspberry Pi and allow you to showcase the best it has to offer. Discover what the Raspberry Pi has to offer using detailed Python 3 examples that you can adapt and extend; see where your creativity takes you!

 * Set up and run Raspberry Pi for the first time
 * Develop desktop applications, and handle images and process files with ease
 * Make use of graphics and user control to develop your own exciting games
 * Create 3D worlds by using the Raspberry Pi's powerful GPU
 * Discover how to create your own electronic circuits to interact with the Raspberry Pi
 * Use the Raspberry Pi Camera to create animations and timelapses
 * Design and build your own Raspberry Pi controlled robots
 * Take control of the real world and interface with physical hardware, combining hardware and software for your own needs

[[https://www.packtpub.com/packt/free-ebook/python-raspberry-pi-cookbook|Publisher's Page]]

----

Automate it! - Recipes to upskill your business

Chetan Giridhar

ISBN 13: 9781786460516 Packt Publishing 392 pages (January 2017)

Book Overview:

This book gives you a great selection of recipes to automate your business processes with Python, and provides a platform for you to understand how Python is useful to make time consuming and repetitive business tasks more efficient. You will begin by learning about the Python modules to work with Web, Worksheets, Presentations and PDFs. You’ll leverage Python recipes to automate processes in HR, Finance and making them efficient and reliable. For instance, company payroll — an integral process in HR will be automated with Python recipes.

  • Implement file deduplication and how to parse HTML content in Python.
  • Study an example application that will enable you to work with spreadsheets
  • Get acquainted with the Python modules used to work with e-mails
  • Manipulate images using Pillow and schedule tasks with respect to time zones
  • Use XML or JSON as a message format across distributed systems
  • Develop a Python application with logging and see an example of debugging
  • Integrate Python with Mongo and Redis databases
  • Generate reports using Pandas

Who this book is written for:

This book is for programmers who know Python but need not be experts. They will however know a lot of the basics of the syntax and some basic experience with the command line. Ultimately, they’re people who see themselves as busy and want to find cool hacks to automate all the mundane and time-consuming tasks they find themselves doing on a daily basis.

Publisher's page


Scientific Computing with Python 3

Claus Führer, Jan Erik Solem, Olivier Verdier

ISBN 13: 9781786463517 Packt Publishing 332 pages (December 2016)

Book Overview:

This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.

  • The principal syntactical elements of Python
  • The most important and basic types in Python
  • The essential building blocks of computational mathematics, linear algebra, and related Python objects
  • Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results
  • Define and use functions and learn to treat them as objects
  • How and when to correctly apply object-oriented programming for scientific computing in Python
  • Handle exceptions, which are an important part of writing reliable and usable code
  • Two aspects of testing for scientific programming: Manual and Automatic

Who this book is written for:

This book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed.

Publisher's page


Mastering Python - Second Edition (Video)

Daniel Arbuckle

ISBN 13: 9781786463746 Packt Publishing Course Length 5 hours 21 minutes (October 2016)

Video Overview:

You will cover the basics of operating in a Python development environment as well as the advanced topics. We present you with real-world solutions to Python 3.5 and advanced-level concepts such as reactive programming and microservices, introduce ctypes and Cython tools. Throughout the journey, we'll highlight the major aspects of managing your Python development environment, show you how to handle parallel computation, and help you to master asynchronous I/O with new Python 3.5 to improve the performance of your system. Finally, you'll learn the secrets of metaprogramming and unit testing in Python—arming you with the perfect skillset to be a Python expert. This course will get you up to speed in everything from basic programming practices to high-end tools and techniques, things that will help you set apart as a successful Python programmer.

  • Get to grips with the basics of operating in a Python development environment
  • Build Python packages to efficiently create reusable code
  • Become proficient at creating tools and utility programs in Python
  • Use the Git version control system to protect your development environment from unwanted changes
  • Harness the power of Python to automate other software
  • Distribute computation tasks across multiple processors
  • Handle high I/O loads with asynchronous I/O to get a smoother performance
  • Take advantage of Python's metaprogramming and programmable syntax features
  • Get acquainted to the concepts behind reactive programming and RxPy

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. Even if you are not familiar with Python, our course starts with the basics and takes you on a journey to become an expert in the technology.

Publisher's page


Python Data Science Essentials - Second Edition

Alberto Boschetti, Luca Massaron

ISBN 13: 9781786462138 Packt Publishing 378 pages (October 2016)

Book Overview:

With this book you'll get modern insight of the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.

  • Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux
  • Get data ready for your data science project
  • Manipulate, fix, and explore data in order to solve data science problems
  • Set up an experimental pipeline to test your data science hypotheses
  • Choose the most effective and scalable learning algorithm for your data science tasks
  • Optimize your machine learning models to get the best performance
  • Explore and cluster graphs, taking advantage of interconnections and links in your data

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. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.

Publisher's page


Building RESTful Python Web Services

Gastón C. Hillar

ISBN 13: 978178646225 Packt Publishing 418 (October 2016)

Book Overview:

Learn how to develop RESTful APIs using the popular Python frameworks and all the necessary stacks with Python, Django, Flask, and Tornado, combined with related libraries and tools. We will dive deep into each of these frameworks to build various web services, and will provide use cases and best practices on when to use a particular framework to get the best results.

  • Develop complex RESTful APIs from scratch with Python combined with and without data sources
  • Choose the most appropriate (micro) framework based on the specific requirements of a RESTful API / web service
  • Debug, test, and profile RESTful APIs with each of the frameworks
  • Develop a complex RESTful API that interacts with a PostgreSQL database
  • Add authentication and permissions to a RESTful API built in each of the frameworks
  • Map URL patterns to request handlers and check how the API works
  • Profile an existing API and refactor it to take advantage of asynchronous code

Who this book is written for:

This book is for web developers who have working knowledge of Python and would like to build amazing web services by taking advantage of the various frameworks of Python. You should have some knowledge of RESTful APIs.

Publisher's page


Python: Penetration Testing for Developers

Christopher Duffy et al.

ISBN 13: 9781787128187 Packt Publishing 650 pages (October 2016)

Course Overview:

This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level.In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat.In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert.Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation.

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:

Learning Penetration Testing with Python by Christopher Duffy

Python Penetration Testing Essentials by MohitPython

Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound

  • Familiarize yourself with the generation of Metasploit resource files and use the Metasploit Remote Procedure Call to automate exploit generation and execution
  • Exploit the Remote File Inclusion to gain administrative access to systems with Python and other scripting languages
  • Crack an organization's Internet perimeter and chain exploits to gain deeper access to an organization's resources
  • Explore wireless traffic with the help of various programs and perform wireless attacks with Python programs
  • Gather passive information from a website using automated scripts and perform XSS, SQL injection, and parameter tampering attacks
  • Develop complicated header-based attacks through Python

Who this course is for:

If you are a Python programmer or a security researcher who has basic knowledge of Python programming and wants to learn about penetration testing with the help of Python, this course is ideal for you. Even if you are new to the field of ethical hacking, this course can help you find the vulnerabilities in your system so that you are ready to tackle any kind of attack or intrusion.

Publisher's page


Natural Language Processing: Python and NLTK

Nitin Hardeniya et al.

ISBN 13: 9781787285101 Packt Publishing 687 pages (November 2016)

Course Overview:

The first NLTK Essentials module is an introduction on how to build systems around NLP, with a focus on how to create a customized tokenizer and parser from scratch. You will learn essential concepts of NLP, be given practical insight into open source tool and libraries available in Python, shown how to analyze social media sites, and be given tools to deal with large scale text. This module also provides a workaround using some of the amazing capabilities of Python libraries such as NLTK, scikit-learn, pandas, and NumPy.The second Python 3 Text Processing with NLTK 3 Cookbook module teaches you the essential techniques of text and language processing with simple, straightforward examples. This includes organizing text corpora, creating your own custom corpus, text classification with a focus on sentiment analysis, and distributed text processing methods. The third Mastering Natural Language Processing with Python module will help you become an expert and assist you in creating your own NLP projects using NLTK. You will be guided through model development with machine learning tools, shown how to create training data, and given insight into the best practices for designing and building NLP-based applications using Python.

This Learning Path combines some of the best that Packt has to offer in one complete, curated package and is designed to help you quickly learn text processing with Python and NLTK. It includes content from the following Packt products:

NTLK essentials by Nitin Hardeniya

Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins

Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, and Iti Mathur

  • The scope of natural language complexity and how they are processed by machines
  • Clean and wrangle text using tokenization and chunking to help you process data better
  • Tokenize text into sentences and sentences into words
  • Classify text and perform sentiment analysis
  • Implement string matching algorithms and normalization techniques
  • Understand and implement the concepts of information retrieval and text summarization
  • Find out how to implement various NLP tasks in Python

Who this course is for:

If you are an NLP or machine learning enthusiast and an intermediate Python programmer who wants to quickly master NLTK for natural language processing, then this Learning Path will do you a lot of good. Students of linguistics and semantic/sentiment analysis professionals will find it invaluable.

Publisher's page


Python Projects [Video]

Burkhard A. Meier

ISBN 13: 9781786466990 Packt Publishing Course Length 2 hours 19 minutes (November 2016)

Video Overview:

This video will teach you how to create well designed architecture and increase performance of the current applications.You will learn how to build enterprise ready applications with Python language.It will also demonstrate how to manage large user bases and ensure that the application is scaled easily. The projects will have an overall focus ranging from web development, statistics, etc. These ready-to-use solutions will appeal to wide range of audience and will teach important programming concepts of Python along the way.By the end of the course, you will be able to build 4 real world production ready applications. And you can go forward very far from this very strong foundation.

  • Develop Python applications in a world-class IDE
  • Create fully functional GUIs written in Python effortlessly
  • Automate your tasks by using scheduling mechanisms
  • Send HTML formatted emails
  • Implement several Design Patterns in Python
  • Create a Windows Service in Python

Who this video for:

The video would appeal to web developers,statisticians, programmers, data scientist, Python consultants and anyone who is working on multiple projects with Python. Basic knowledge of Python programming is assumed.

Publisher's page


Python Data Visualization Solutions [Video]

Dimitry Foures, Giuseppe Vettigli, Igor Milovanović

ISBN 13: 9781787122802 Packt Publishing Course Length 3 hours 27 minutes (November 2016)

Video Overview:

This video starts by showing you how to set up matplotlib and other Python libraries that are required for most parts of the course, before moving on to discuss various widely used diagrams and charts such as Gantt Charts. As you will go through the course, you will get to know about various 3D diagrams and animations. As maps are irreplaceable to display geo-spatial data, this course will show you how to build them. In the last section, we’ll take you on a thorough walkthrough of incorporating matplotlib into various environments and how to create Gantt charts using Python.With practical, precise, and reproducible videos, you will get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenge while implementing them.

  • Draw your first chart and customize it
  • Use the most popular data visualization Python libraries
  • Make 3D visualizations mainly using mplot3d
  • Create charts with images and maps
  • Understand the most appropriate charts to describe your data
  • Get to know the matplotlib’s hidden gems

Who this video is for:

If you are an analyst or a budding data scientist who wants to know how to use Python to visualize your data to get effective insights from it, then this book is for you. Some understanding of Python programming will be useful.

Publisher's page


Modern Python Cookbook

Steven F. Lott

ISBN 13: 9781786469250 Packt Publishing 824 pages (November 2016)

Book Overview:

This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters 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.

  • See the intricate details of the Python syntax and how to use it to your advantage
  • Improve your code readability through functions in Python
  • Manipulate data effectively using built-in data structures
  • Get acquainted with advanced programming techniques in Python
  • Equip yourself with functional and statistical programming features
  • Write proper tests to be sure a program works as advertised
  • Integrate application software using Python

Who this book is written for:

The book is for web developers, programmers, enterprise programmers, engineers, big data scientist, and so on. If you are a beginner, Python Cookbook will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help.

Publisher's page


Python: Master the Art of Design Patterns

By Dusty Phillips, Chetan Giridhar, Sakis Kasampalis

ISBN 13: 9781787125186 Packt Publishing 775 pages (September 2016)

Course Overview:

This learning path takes you through every traditional and advanced design pattern best applied to Python code, building your skills in writing exceptional Python. Divided into three distinct modules, you’ll go from foundational to advanced concepts by following a series of practical tutorials.Start with the bedrock of Python programming – the object-oriented paradigm.

Rethink the way you work with Python as you work through the Python data structures and object-oriented techniques essential to modern Python programming. Build your confidence as you learn Python syntax, and how to use OOP principles with Python tools such as Django and Kivy.

In the second module, run through the most common and most useful design patterns from a Python perspective. Progress through Singleton patterns, Factory patterns, Façade patterns and more all with detailed hands-on guidance. Enhance your professional abilities in in software architecture, design, and development.In the final module, run through the more complex and less common design patterns, discovering how to apply them to Python coding with the help of real-world examples.Get to grips with the best practices of writing Python, as well as creating systems architecture and troubleshooting issues.

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 3 Object-Oriented Programming - Second Edition by Dusty PhillipsLearning

Python Design Patterns - Second Edition by Chetan GiridharMastering

Python Design Patterns by Sakis Kasampalis

  • Discover what design patterns are and how to apply them to writing Python
  • Implement objects in Python by creating classes and defining methods
  • Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface
  • Understand when to use object-oriented features, and more importantly when not to use them
  • Get to know proven solutions to common design issues
  • Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle, and the Open Close principle, among others
  • Use Structural Design Patterns and find out how objects and classes interact to build larger applications
  • Improve the productivity and code base of your application using Python design patterns
  • Secure an interface using the Proxy pattern

Who this course is written for:

If you have basic Python skills and wish to learn in depth how to correctly apply appropriate design patterns, this course is tailor made for you.

Publisher's page


Text Analytics with Python - 1st Edition

By Dipanjan Sarkar

Text Analytics with Python cover

ISBN-13: 978-1484223871

ISBN-10: 978-1484223871

Release Date: December 2016

Pages: 385

Book Overview:

Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem.

Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.

A structured and comprehensive approach is followed in this book so that readers with little or no experience do not find themselves overhelmed. You will start with the basics of natural language and Python and move on to advanced analytical and machine learning concepts. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.

  • Provides complete coverage of the major concepts and techniques of natural language processing (NLP) and text analytics.
  • Includes practical real-world examples of techniques for implementation, such as building a text classification system to categorize news articles, analyzing app or game reviews using topic modeling and text summarization, and clustering popular movie synopses and analyzing the sentiment of movie reviews.
  • Shows implementations based on Python and several popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern

Who this book is for:

This book is aimed at IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data.

Publisher's Page (Apress)

Publisher's Page (Springer)

Author's Page with code & bonus content


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:

  • Best practice: methods & advice you should follow when building your applications.

  • Language internals: get introduced to some of the Python internals and get a better understanding of how to write more efficient code. Gain a greater insight into the inner workings of the language.
  • Solve problems: battle-tested solutions to tackle problems such as testing, porting, or scaling Python applications and libraries. Discover strategies that will help you maintain your software in the long term.
  • Interviews with Python software developers and experts.

Who this book is for

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

Publisher's page


Mastering Flask (Video)

Alexander Putilin, Jack Stouffer

ISBN 13: 9781784393915 4 hours 14 minutes (November 2016)

Video Overview:

This course will take you deep into the world of using Flask and its ecosystem of extensions to create web applications. We’ll walk through creating a simple IMDB clone from scratch. We’ll start by creating the boilerplate code and use Virtualenv to create an isolated development environment. You’ll then learn to work with the database using SQLAlchemy. After that, we’ll display our data to the end user using WTForms.

  • Build a real-world application that adheres to best practices using Flask
  • Use Virtualenv to incorporate dependency isolation
  • Work with SQLAlchemy while learning database concepts
  • See how to customize Jinja templates to work with dynamic pages
  • Create secure forms using WTForms
  • Modularize your code with Blueprints
  • Work with Flask Login and Flask Principal to secure our app
  • Add a REST API to our app to allow programmers to easily build off the platform the app is building
  • Create an administrator interface using Flask Admin
  • Speed up the working of the app with Flask Debug Toolbar, Flask Cache, and Flask Assets
  • Implement asynchronous programming using Celery
  • Make the app robust by performing various tests on it
  • Deploy the app to platforms such as AWS, Heroku, and simple VPS with Nginx and Gunicorn

Who is this video course for:

If you are a Flask user who knows the basics of the library and how to create basic web pages with HTML and CSS, and you want to take your applications to the next level, then this video course is for you. Harnessing the full power of Flask will allow you to create complex web applications with ease.

Publisher's Page


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.

  • Build a robust application by handling exceptions.
  • Modularize, package, and release the source distribution.
  • Document the code and implement coding standards.
  • Create automated tests to catch bugs in the early development stage.
  • Identify and re-factor badly written code to improve application life.
  • Detect recurring problems in the code and apply design patterns.
  • Improve code efficiency by identifying performance bottlenecks and fixing them.
  • Develop simple GUI applications using Python.

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.

Publisher's Page


Raspberry Pi Cookbook for Python Programmers (Free eBook)

Tim Cox

ISBN 13: 9781849696623 402 Pages (April 2014)

Book Overview:

Raspberry Pi Cookbook for Python Programmers is a practical guide for getting the most out of this little computer. It will guide you through the many uses of the Raspberry Pi and allow you to showcase the best it has to offer. Discover what the Raspberry Pi has to offer using detailed Python 3 examples that you can adapt and extend; see where your creativity takes you!

  • Set up and run Raspberry Pi for the first time
  • Develop desktop applications, and handle images and process files with ease
  • Make use of graphics and user control to develop your own exciting games
  • Create 3D worlds by using the Raspberry Pi's powerful GPU
  • Discover how to create your own electronic circuits to interact with the Raspberry Pi
  • Use the Raspberry Pi Camera to create animations and timelapses
  • Design and build your own Raspberry Pi controlled robots
  • Take control of the real world and interface with physical hardware, combining hardware and software for your own needs

Publisher's Page


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.

  • Build a classification system that can be applied to text, images, or sounds
  • Use scikit-learn, a Python open-source library for machine learning
  • Explore the mahotas library for image processing and computer vision
  • Build a topic model of the whole of Wikipedia
  • Get to grips with recommendations using the basket analysis
  • Use the Jug package for data analysis
  • Employ Amazon Web Services to run analyses on the cloud
  • Recommend products to users based on past purchases

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

Publisher's Page


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.

  • Learn to write clean and elegant Python code that will optimize the strength of your algorithms
  • Uncover hidden patterns and structures in data with clustering
  • Improve accuracy and consistency of results using powerful feature engineering techniques
  • Gain practical and theoretical understanding of cutting-edge deep learning algorithms
  • Solve unique tasks by building models
  • Get grips on the machine learning design process

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.

Publisher's page


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

  • Gain an insight into components and design decisions for an analytical application
  • Master the use Python notebooks for exploratory data analysis and rapid prototyping
  • Get to grips with applying regression, classification, clustering, and deep learning algorithms
  • Discover the advanced methods to analyze structured and unstructured data
  • Find out how to deploy a machine learning model in a production environment
  • Visualize the performance of models and the insights they produce
  • Scale your solutions as your data grows using Python
  • Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis

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.

Publisher's page


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

  • Gain an insight into components and design decisions for an analytical application
  • Master the use Python notebooks for exploratory data analysis and rapid prototyping
  • Get to grips with applying regression, classification, clustering, and deep learning algorithms
  • Discover the advanced methods to analyze structured and unstructured data
  • Find out how to deploy a machine learning model in a production environment
  • Visualize the performance of models and the insights they produce
  • Scale your solutions as your data grows using Python
  • Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis

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.

Publisher's page


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.

  • 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

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.

  • Explore techniques for finding frequent itemsets and association rules in large data sets
  • Learn identification methods for entity matches across many different types of data
  • Identify the basics of network mining and how to apply it to real-world data sets
  • Discover methods for detecting the sentiment of text and for locating named entities in text
  • Observe multiple techniques for automatically extracting summaries and generating topic models for text
  • See how to use data mining to fix data anomalies and how to use machine learning to identify outliers in a data set

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.

  • Understand the basic data mining concepts to implement efficient models using Python
  • Know how to use Python libraries and mathematical toolkits such as numpy, pandas, matplotlib, and sci-kit learn
  • Build your first application that makes predictions from data and see how to evaluate the regression model
  • Analyze and implement Logistic Regression and the KNN model
  • Dive into the most effective data cleaning process to get accurate results
  • Master the classification concepts and implement the various classification algorithms

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.

  • Set up reproducible data analysis
  • Clean and transform data
  • Apply advanced statistical analysis
  • Create attractive data visualizations
  • Web scrape and work with databases, Hadoop, and Spark
  • Analyze images and time series data
  • Mine text and analyze social networks
  • Use machine learning and evaluate the results
  • Take advantage of parallelism and concurrency

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

  • Store social data in a convenient format for data analysis
  • Slice and dice social data using Python tools for data science
  • Apply text analytics techniques to understand what people are talking about on social media
  • Apply advanced statistical and analytical techniques to produce useful insights from data
  • Build beautiful visualizations with web technologies to explore data and present data products

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

  • Apply your new found skills to solve real problems, through clearly-explained code for every technique and test
  • Automate large sets of complex data and overcome time-consuming practical challenges
  • Improve the accuracy of models and your existing input data using powerful feature engineering techniques
  • Use multiple learning techniques together to improve the consistency of results
  • Understand the hidden structure of datasets using a range of unsupervised techniques
  • Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach
  • Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together

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

  • Successfully evaluate and apply the most effective models to problems
  • Learn the fundamentals of NLP - and put them into practice
  • Visualize data for maximum impact and clarity
  • Deploy machine learning models using third party APIs
  • Get to grips with feature engineering

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

  • Use tools and techniques to mine data from websites
  • Grasp the core concepts of Django framework
  • Get to know the most useful clustering and classification techniques and implement them in Python
  • Acquire all the necessary knowledge to build a web application with Django
  • Successfully build and deploy a movie recommendation system application using the Django framework in Python

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.

  • Write Scapy scripts to investigate network traffic
  • Get to know application fingerprinting techniques with Python
  • Understand the attack scripting techniques
  • Write fuxxing tools with pentesting requirements
  • Learn basic attack scripting methods
  • Utilize cryptographic toolkits in Python

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.

  • Implement string matching algorithms and normalization techniques
  • Implement statistical language modeling techniques
  • Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator
  • Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approach
  • Familiarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm
  • Develop an NER-based system and understand and apply the concepts of sentiment analysis
  • Understand and implement the concepts of Information Retrieval and text summarization
  • Develop a Discourse Analysis System and Anaphora Resolution based system

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.

  • Read, sort and map various data into Python and Panda
  • Recognise patterns so you can understand and explore data
  • Use statistical models to discover patterns in data
  • Review classical statistical inference using Python, Pandas, and SciPy

  • Detect similarities and differences in data with clustering
  • Clean your data to make it useful
  • Work in Jupyter Notebook to produce publication ready figures to be included in reports

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.

  • Install and setup Python.
  • Implement objects in Python by creating classes and defining methods.
  • Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis.

  • Create effective visualizations for presenting your data using Matplotlib.
  • Process and analyze data using the time series capabilities of pandas.
  • Interact with different kind of database systems, such as file, disk format, Mongo, and Redis.
  • Apply data mining concepts to real-world problems.
  • Compute on big data, including real-time data from the Internet.

Publisher's page


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.

  • Understand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python libraries.
  • Analyze the result parameters arising from the implementation of Predictive Analytics algorithms.
  • Write Python modules/functions from scratch to execute segments or the whole of these algorithms.
  • Recognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithms.
  • Get to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy.
  • Create dummy datasets and simple mathematical simulations using the Python numpy and pandas libraries.
  • Understand the best practices while handling datasets in Python and creating predictive models out of them.

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.

  • Conventions and best practices that are widely adopted in the python community.
  • Package python code effectively for community and production use.
  • Easy and lightweight ways to automate code deployment on remote systems.
  • Improve your code’s quality, reliability, and performance.
  • Write concurrent code in python.

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.

  • Prototype and develop IoT solutions from scratch with Python as the programming language.
  • Develop IoT projects with Intel Galileo Gen 2 board along with Python.
  • Work with the different components included in the boards using Python and the MRAA library.
  • Interact with sensors, actuators, and shields.
  • Work with UART and local storage.
  • Interact with any electronic device that supports the I2C bus.
  • Allow mobile devices to interact with the board.
  • Work with real-time IoT and cloud services.

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.

Publisher's page


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.

  • Access, manipulate, and display geospatial data from within your Python programs.
  • Master the core geospatial concepts of location, distance, units, projections, and datums.
  • Read and write geospatial data in both vector and raster format.
  • Perform complex, real-world geospatial calculations using Python.
  • Store and access geospatial information in a database.
  • Use points, lines, and polygons within your Python programs.
  • Convert geospatial data into attractive maps using Python-based tools.

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.

  • Develop skills to use IPython for high performance computing (HPC).
  • Understand the IPython interactive shell.
  • Use XeroMQ and MPI to pass messages.
  • Integrate third-party tools like R, Julia, and JavaScript with IPython.

  • Visualize the data.
  • Acquire knowledge to test and document the data.

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.

  • Implement a wide range of algorithms and techniques for tackling complex data.
  • Get to grips with some of the most powerful languages in data science, including R, Python, and Julia.
  • Harness the capabilities of Spark and Hadoop to manage and process data successfully.
  • Apply the appropriate machine learning technique to address real-world problems.
  • Get acquainted with Deep learning and find out how neural networks are being used at the cutting-edge of machine learning.

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.

  • Create a virtualenv and start a new project
  • Understand how and when to use the functional programming paradigm
  • Get familiar with the different ways the decorators can be written in
  • Understand the power of generators and coroutines without digressing into lambda calculus
  • Create metaclasses and how it makes working with Python far easier
  • Generate HTML documentation out of documents and code using Sphinx
  • Learn how to track and optimize application performance, both memory and cpu
  • Use the multiprocessing library, not just locally but also across multiple machines

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.

  • Get an introduction to parallel and distributed computing
  • See synchronous and asynchronous programming
  • Explore parallelism in Python
  • Distributed application with Celery
  • Python in the Cloud
  • Python on an HPC cluster
  • Test and debug distributed applications

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.

Publisher's page


Designing Machine Learning Systems with Python

By David Julian

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

Book overview:

  • Gain an understanding of the machine learning design process
  • Optimize machine learning systems for improved accuracy
  • Understand common programming tools and techniques for machine learning
  • Develop techniques and strategies for dealing with large amounts of data from a variety of sources
  • Build models to solve unique tasks

Who this book is written for:

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

Publisher's page


Flask By Example

By Gareth Dwyer

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

Book overview:

  • Build three web applications from the ground up using the powerful Python micro framework, Flask.
  • Dynamically display data to your viewers, based on their requests.
  • Store user and static data in SQL and NoSQL databases and use this data to power your web applications.
  • Create a good user experience by combining HTML, CSS, and JavaScript.

  • Harness the convenience of freely available APIs, including OpenWeatherMap, Open Exchange Rates, and bitly.

  • Extend your applications to build advanced functionality, such as a user account control system using Flask-Login.
  • Learn about web application security and defend against common attacks, such as SQL injection and XSS.

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.

Publisher's page


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:

  • Understand the web application penetration testing methodology and toolkit.
  • Interact with web applications using Python and the Requests library.
  • Intercept and manipulate HTTP communication using Mitmproxy.

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.

Publisher's page


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.

  • Reuse Python logging in C
  • Make an IRC bot out of your C application
  • Extend an application so you have a web server for rest calls
  • Practice Cython against your C++ code
  • Discover tricks to work with Python ConfigParser in C

  • Create Python bindings for native libraries
  • Find out about threading and concurrency related to GIL
  • Expand Terminal Multiplexer Tmux with Cython

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.

Publisher's page


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:

  • Understand the fundamental capabilities of the Flask framework.
  • You will learn how to test APIs written in Python with the support of Flask.
  • Design and develop large applications independently from Flask.

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.

Publisher's page


Regression Analysis with Python

By Luca Massaron, Alberto Boschetti

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

Book overview:

  • Apply multiple linear regression to real-world problems.
  • Create an observation matrix, using different techniques of data analysis and cleaning.
  • Learn to scale linear models to a big dataset and deal with incremental data.

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.

Publisher's page


Deep Learning with Python-Video Course

By Eder Santana

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

Video Course overview:

  • Learn the fundamentals of Machine Learning and build your own intelligent applications.
  • Implement automatic image recognition and text analysis models using Deep learning.
  • Get to know each concept along with its practical implementation.

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.

Publisher's page


Learning Predictive Analytics with Python

By Ashish Kumar

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

Book overview:

  • A step-by-step guide to predictive modeling.
  • Get to grips with the basics of Predictive Analytics with Python.
  • Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering.

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

Publisher's page


Learning Python Design Patterns - Second Edition

By Chetan Giridhar

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

Book overview:

  • Implement real-world scenarios with Python’s latest release, Python v3.5.
  • Learn about Singleton patterns, Factory patterns, and Façade patterns in detail.
  • Enhance your professional abilities in software architecture, design, and development.

Who this book is written for

This book is written for intermediate Python programmers.

Publisher's page


PySide GUI Application Development - Second Edition

By Gopinath Jaganmohan, Venkateshwaran Loganathan

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

Book overview:

  • Designed for beginners to help you get started with GUI application development.
  • Develop your own applications by creating customized widgets and dialogues.
  • Written in a simple and elegant structure so you easily understand how to program various GUI components.

Who this book is written for

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

Publisher's page


Geospatial Development By Example with Python

By Pablo Carreira

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

Book overview:

  • Learn the full geo-processing workflow using Python with open source packages
  • Create press-quality styled maps and data visualization with high-level and reusable code
  • Process massive datasets efficiently using parallel processing

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.

Publisher's page


Getting Started with Python and Raspberry Pi

By Dan Nixon

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

Book overview:

  • Learn the fundamentals of Python scripting and application programming
  • Design user-friendly command-line and graphical user interfaces
  • A step-by-step guide to learning Python programming with the Pi

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.

Publisher's page


Learning Python

By Fabrizio Romano

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

Book overview:

  • Learn the fundamentals of programming with Python – one of the best languages ever created
  • Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portability
  • Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science

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.

Publisher's page


Learning Geospatial Analysis with Python - Second Edition

By Joel Lawhead

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

Book overview:

  • Construct applications for GIS development by exploiting Python
  • This focuses on built-in Python modules and libraries compatible with the Python Packaging Index distribution system—no compiling of C libraries necessary
  • This practical, hands-on tutorial teaches you all about Geospatial analysis in Python

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.

Publisher's page


Python Unlocked

By Arun Tigeraniya

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

Book overview:

  • Write smarter, bug-free, high performance code with minimal effort
  • Uncover the best tools and options available to Python developers today
  • Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively

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:

  • This book empowers you to create rich cross-platform graphical user interfaces using Python
  • It helps you develop applications that can be deployed on Windows, OSX, and Linux
  • The recipes in the book involve real-world applications, giving you a first-hand experience of the practical scenarios

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:

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)

  • Inject live data using Spark Streaming with real-time events

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:

  • Want to minimize risk and optimize profits of your business? Learn to create efficient analytical reports with ease using this highly practical, easy-to-follow guide
  • Learn to apply Python for business intelligence tasks—preparing, exploring, analyzing, visualizing and reporting—in order to make more informed business decisions using data at hand
  • Learn to explore and analyze business data, and build business intelligence dashboards with the help of various insightful recipes

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:

  • Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data
  • Explore sample applications in real-time and analyze them in the popular NoSQL databases MongoDB and Redis
  • Discover how to apply software development best practices to improve performance, productivity, and quality in your Storm projects

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:

  • Use object-oriented programming to develop amazing GUIs in Python
  • Create a working GUI project as a central resource for developing your Python GUIs
  • Packed with easy-to-follow recipes to help you develop code using the latest released version of Python

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:

  • Discover the essential features of Python programming: statements, variables, expressions, and many of the built-in data types
  • Use Python’s standard library to do more sophisticated data gathering and analysis
  • Written by a Python programming expert, with over 35 years' experience as a consultant, teacher, author and software developer

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:

  • Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
  • Concise step-by-step instructions to teach you about projections, vector, raster, overlay, indoor routing and topology analysis
  • Create a basic indoor routing application with geodjango

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:

  • Learn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and Matplotlib
  • Create, manipulate, and analyze your data to extract useful information to optimize your system
  • A hands-on guide to help you learn data analysis using Python

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:

  • Learn how to set up an optimal Python environment for data visualization
  • Understand how to import, clean and organize your data
  • Determine different approaches to data visualization and how to choose the most appropriate for your needs

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:

  • The book is packed with simple and concise Python code examples to effectively demonstrate advanced concepts in action
  • Explore concepts such as programming, data mining, data analysis, data visualization, and machine learning using Python
  • Get up to speed on machine learning algorithms with the help of easy-to-follow, insightful recipes

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:

  • A hands-on guide to web scraping with real-life problems and solutions
  • Techniques to download and extract data from complex websites
  • Create a number of different web scrapers to extract information

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:

  • Generate Spirograph-like patterns using parametric equations and the turtle module
  • Create music on your computer by simulating frequency overtones
  • Translate graphical images into ASCII art
  • Write an autostereogram program that produces 3D images hidden beneath random patterns
  • Make realistic animations with OpenGL shaders by exploring particle systems, transparency, and billboarding techniques
  • Construct 3D visualizations using data from CT and MRI scans
  • Build a laser show that responds to music by hooking up your computer to an Arduino

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:

  • Learn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworks
  • Analyze Python scripts to extract metadata and investigate forensic artifacts
  • The writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigations

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:

  • Explore the immense Python libraries to write efficient, reusable code
  • Create adaptable programs that run on multiple processors with parallel programming
  • Become a Python expert with the help of detailed discussions, illustrated with concrete examples

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:

  • Explore various tools and their strengths while building meaningful representations that can make it easier to understand data
  • Packed with computational methods and algorithms in diverse fields of science
  • Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse

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:

  • Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image processing and NLP
  • Solve real-world problems using Python libraries to run inferences using graphical models
  • A practical, step-by-step guide that introduces readers to representation, inference, and learning using Python libraries best suited to each task

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:

  • Understand how and where Python scripts meet the need for penetration testing
  • Familiarize yourself with the process of highlighting a specific methodology to exploit an environment to fetch critical data
  • Develop your Python and penetration testing skills with real-world examples

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:

  • Leverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms
  • Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets

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:

  • Strengthen your fundamentals of game programming with Python language
  • Seven hands-on games to create 2D and 3D games rapidly from scratch
  • Illustrative guide to explore the different GUI libraries for building your games

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:

  • Master the do's and don'ts of Python performance programming
  • Learn how to use exiting new tools that will help you improve your scripts
  • A step-by-step, conceptual guide to teach you how to optimize and fine-tune your critical pieces of code

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:

  • The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered.
  • Most of the Python APIs and tools used in scientific computing are discussed in detail
  • The concepts are discussed with suitable example programs

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:

  • Stop writing scripts and start architecting programs
  • Learn the latest Python syntax and libraries
  • A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python 3

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:

  • Design and implement efficient parallel software
  • Master new programming techniques to address and solve complex programming problems
  • Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth

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:

  • Master data science methods using Python and its libraries
  • Create data visualizations and mine for patterns
  • Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning

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:

  • Learn data mining in practical terms, using a wide variety of libraries and techniques
  • Learn how to find, manipulate, and analyze data using Python
  • Step-by-step instructions on creating real-world applications of data mining techniques

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:

  • Use Python and QGIS to create and transform data, produce appealing GIS visualizations, and build complex map layouts
  • Learn undocumented features of the new QGIS processing module
  • A set of user-friendly recipes that can automate the entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes

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:

  • Learn the essentials of Python programming to get you up and coding effectively
  • Get up-to-speed with the most important built-in data structures in Python, using sequences, sets, and mappings
  • Explore typical use cases for various features in Python through this compact guide

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:

  • Leverage your Python programming skills to build powerful network applications
  • Explore steps to interact with a wide range of network services
  • Design multithreaded and event-driven architectures for echo and chat servers

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:

  • Discover and learn the most important Python libraries and applications to do a complex bioinformatics analysis
  • Focuses on the most modern tools to do research with next generation sequencing, genomics, population genetics, phylogenomics, and proteomics
  • Uses real-world examples and teaches you to implement high-impact research methods

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:

  • Get useful guidance on writing Python scripts and using libraries to put websites and web apps through their paces
  • Find the script you need to deal with any stage of the web testing process
  • Develop your Python knowledge to get ahead of the game for web testing and expand your skillset to other testing areas

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:

  • Learn to build a complete geospatial application from scratch using Python
  • Create good-looking maps based on the results of your analysis
  • This is a fast-paced guide to help you explore the key concepts of geospatial to obtain high quality spatial data

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:

  • A fast-paced guide that demonstrates the use of Python Requests with the help of examples
  • Learn web scraping with Beautiful Soup and Python Requests libraries
  • Interact with social networking sites such as Facebook, Twitter, and Reddit to retrieve data from them

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:

  • Develop a GIS application that you can easily modify and customize
  • Optimize your GIS application for user productivity and efficiency
  • Discover Python’s many geospatial libraries and learn how they can work together

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:

  • Write robust and easily maintainable code using the principles of test driven development
  • Get solutions to real-world problems faced by Python developers
  • Go from a unit testing beginner to a master through a series of step-by-step tutorials that are easy to follow

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:

  • Explore financial models used by the industry and ways of solving them with this guide
  • Discover the various features that Python provides for scientific computing and harness them to enhance your financial applications
  • Build state-of-the-art infrastructure for critical aspects such as modeling, trading, pricing, and analytics

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:

  • Build your own Python-based machine learning systems tailored to solve any problem
  • Discover how Python offers a multiple context solution for create machine learning systems
  • Practical scenarios using the key Python machine learning libraries to successfully implement in your projects

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:

  • Perform GIS analysis faster by automating tasks, such as selecting data or buffering data, by accessing GIS tools using scripting
  • Access the spatial data contained within shapefiles and geodatabases, for updates, analysis and even transformation between spatial reference systems
  • Produce map books and automate the mapping of geospatial analyses, reducing the time needed to produce and display the results

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:

  • Use Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) manner
  • Utilize Python library modules including itertools, functools, multiprocessing, and concurrent.futures for efficient functional programs
  • Use Python strings with object-oriented suffix notation and prefix notation

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:

  • Simplify design pattern implementation using the power of Python
  • Each pattern is accompanied with a real-world example demonstrating its key features
  • This is an easy-to-follow guide focusing on the practical aspects of Python design patterns

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:

  • Use the power of Python to build full-fledged, scalable web applications running on Google's infrastructure
  • Learn how to use Google Cloud Platform tools and services adding features and enriching your Python web applications
  • Build a real-world web application in no time with this comprehensive step-by-step guide

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:

  • Quickly get familiar with data science using Python
  • Save tons of time through this reference book with all the essential tools illustrated and explained
  • Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience

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:

  • Design, simulate, build and program an interactive autonomous mobile robot
  • Program Robot Operating System using Python
  • Get a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratch

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:

  • Learn to detect and avoid various types of attacks that put the privacy of a system at risk
  • Employ practical approaches to penetration testing using Python to build efficient code and eventually save time
  • Enhance your concepts about wireless applications and information gathering of a web server

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:

  • Explore the workings of Regular Expressions in Python
  • Learn all about optimizing regular expressions using RegexBuddy

  • Full of practical and step-by-step examples, tips for performance, and solutions for performance-related problems faced by users all over the world

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

  • Build your own complete and sophisticated mapping applications in Python
  • Walks you through the process of building your own online system for viewing and editing geospatial data
  • Practical, hands-on tutorial that teaches you all about geospatial development in Python

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

  • Learn to write tests at every level using a variety of Python testing tools
  • The first book to include detailed screenshots and recipes for using Jenkins continuous integration server (formerly known as Hudson)
  • Explore innovative ways to introduce automated testing to legacy systems
  • Part of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible
  • eBook available as PDF and ePub downloads and also on PacktLib

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:

  • Build your own Python web applications from scratch
  • Follow the examples to create a number of different Python-based web applications, including a task list, book database, and wiki application
  • Have the freedom to make your site your own without having to learn another framework
  • Part of Packt's Beginner's Guide Series: practical examples will make it easier for you to get going quickly

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

  • By Lennart Regebro

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.

  • Porting with 2to3
  • Supporting Python 2 and Python 3 without 2to3 conversion
  • Migrating C extensions
  • Extending 2to3 with your own fixers
  • Language differences and workarounds
  • and more...

Official book site


Making Games with Python & Pygame

  • By Al Sweigart

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

  • By Erik Westra

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:

  • Build applications for GIS development using Python
  • Analyze and visualize Geo-Spatial data
  • Comprehensive coverage of key GIS concepts
  • Recommended best practices for storing spatial data in a database
  • Draw maps, place data points onto a map, and interact with maps
  • A practical tutorial with plenty of step-by-step instructions to help you develop a mapping application from scratch

Publisher's page


Python 2.6 Graphics Cookbook

  • By Mike Ohlson de Fine

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

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

  • Create captivating graphics with ease and bring them to life using Python
  • Apply effects to your graphics using powerful Python methods
  • Develop vector as well as raster graphics and combine them to create wonders in the animation world
  • Create interactive GUIs to make your creation of graphics simpler
  • Part of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to accomplish the task of creation and animation of graphics as efficiently as possible

Publisher's page


Python Text Processing with NLTK 2.0 Cookbook

  • By Jacob Perkins

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:

  • Quickly get to grips with Natural Language Processing – with Text Analysis, Text Mining, and beyond
  • Learn how machines and crawlers interpret and process natural languages
  • Easily work with huge amounts of data and learn how to handle distributed processing
  • Part of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible

Publisher's page


MySQL for Python

  • By Albert Lukaszewski, PhD

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:

  • Implement the outstanding features of Python's MySQL library to their full potential
  • See how to make MySQL take the processing burden from your programs
  • Learn how to employ Python with MySQL to power your websites and desktop applications
  • Apply your knowledge of MySQL and Python to real-world problems instead of hypothetical scenarios
  • A manual packed with step-by-step exercises to integrate your Python applications with the MySQL database server

Publisher's page


Python 3 Object Oriented Programming

  • By Dusty Phillips

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.

  • Implement objects in Python by creating classes and defining methods
  • Separate different objects into a taxonomy of classes, and describe the properties and behaviors of those objects via the class interface
  • Design public interfaces using abstraction, encapsulation, and information hiding
  • Add functionality to the existing classes and built-ins using inheritance
  • Share similar code between classes by abstracting it into a parent class
  • Understand when to use object-oriented features, and more importantly when not to
  • Learn what design patterns are, and why they are different in Python
  • Utilize common Python 3 modules, libraries, and frameworks


Pro Python

  • By Marty Alchin

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

  • Write strong Python code that will be respected in the Python community.
  • Understand the reasons behind big design decisions in Python.
  • Write programs that can reconfigure themselves in Python.
  • Disguise your code as different types of objects in Python.
  • Inspect just about any object in Python.
  • Prepare your code for international audiences.
  • Ensure code quality with rigorous testing.


Python Testing: Beginner's Guide

  • By Daniel Arbuckle

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

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

  • Covers everything you need to test your code in Python
  • Easiest and enjoyable approach to learn Python testing
  • Write, execute, and understand the result of tests in the unit test framework
  • Packed with step-by-step examples and clear explanations

Publisher's page


Python Cookbook

  • Edited by Alex Martelli and David Ascher

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

  • Bruno R. Preiss

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:

  • "Hello, World!" on Steroids
  • The Zen of Pyparsing
  • Extracting data from a complex web page
  • S-expression parsing
  • Search query parsing
  • Writing a search engine in under 100 lines of code

Publisher's page O'Reilly Short Cut


Expert Python Programming

  • Tarek Ziadé

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

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

  • Learn Python development best practices from an expert, with detailed coverage of naming and coding conventions
  • Apply object-oriented principles, design patterns, and advanced syntax tricks
  • Manage your code with distributed version control
  • Profile and optimize your code
  • Practive test-driven development and continuous integration

Publisher's page

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


Foundations of Agile Python Development

  • Jeff Younker

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

  • John Goerzen

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

  • Bruce Eckel

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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