Advanced Python Programming

EBook Description: Advanced Python Programming is a good book,using this book you can easily gather informations

Active Python User Guide is a good book,using this book you can easily gather informations

Exploring Python

Exploring Python takes an active learning approach which engages the student as an equal partner in the process of learning the fun, educational, and powerful programming language. This approach instills habits that students will carry with them throughout their programming career and helps them retain and use the information they have learned.

Tim Budd is one of the best-known authors in Computer Science and has a reputation for producing writing texts along the leading edge of the discipline. Exploring Python provides an accessible and reliable introduction into programming with the Python language.

Python Testing Cookbook (2011)

Are you looking at new ways to write better, more efficient tests? Are you struggling to add automated testing to your existing system? The Python unit testing framework, originally referred to as "PyUnit" and now known as unittest, is a framework that makes it easier for you to write automated test suites efficiently in Python. This book will show you exactly how to squeeze every ounce of value out of automated testing.

The Python Testing Cookbook will empower you to write tests using lots of Python test tools, code samples, screenshots, and detailed explanations. By learning how and when to write tests at every level, you can vastly improve the quality of your code and your personal skill set. Packed with lots of test examples, this will become your go-to book for writing good tests.

Python Testing Cookbook

This cookbook is written as a collection of code recipes containing step-by-step directions on how to install or build different types of Python test tools to solve different problems. Each recipe contains explanations of how it works along with answers to common questions and cross references to other relevant recipes. The easy-to-understand recipe names make this a handy test reference book. 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.

Python Testing Cookbook 2011 RETAiL

Are you looking at new ways to write better, more efficient tests? Are you struggling to add automated testing to your existing system? The Python unit testing framework, originally referred to as "PyUnit" and now known as unittest, is a framework that makes it easier for you to write automated test suites efficiently in Python. This book will show you exactly how to squeeze every ounce of value out of automated testing.
The Python Testing Cookbook will empower you to write tests using lots of Python test tools, code samples, screenshots, and detailed explanations. By learning how and when to write tests at every level, you can vastly improve the quality of your code and your personal skill set. Packed with lots of test examples, this will become your go-to book for writing good tests.

Python programming books

This collection has 100 Python programming books as of Jan 2011. It is basically an updated version of the older Nov 2010 collection. In this update 11 new books were added or updated, and the PDF search index was created with Acrobat X instead of Acrobat 9 as was previously the case.

Python Power

Python, a powerful and flexible general purpose programming language is growing in popularity as more people become interested in programming using open source languages. "Python Power!: The Comprehensive Guide" shows readers how to use Python to run Web sites, write GUI interfaces, control number-crunching code, process large XML data sets, build test suites for C or Java code, and much more. Technical topics are explained clearly and concisely and end-of-chapter projects encourage the reader to program on their own. A detailed table of contents and a complete, well-organized index make this book a great reference tool. All code used in the book will be available for download on the companion website.

Rapid GUI Programming with Python and Qt

Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development.
With Rapid GUI Programming with Python and Qt you'll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book's realistic examples you'll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4's rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples�all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.

Python Phrasebook

Essential Code and Commands
Python Phrasebook gives you the code phrases you need to quickly and effectively complete your programming projects in Python.
Concise and Accessible
Easy to carry and easy to use�lets you ditch all those bulky books for one portable guide
Flexible and Functional
Packed with more than 100 customizable code snippets�so you can readily code functional Python in just about any situation

Python Scripting for Computational Science

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

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