High Performance Python
by Ian Ozsvald
Publisher: ianozsvald.com 2011
Number of pages: 55
By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
Home page url
Download or read it online for free here:
by Rahul Verma, Chetan Giridhar - Testing Perspective
This book is about learning design patterns with Python language. If you are new to design patterns, this text provides the first building blocks. If you are interested in design of test automation frameworks, this book will be very useful.
by Allen B. Downey - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
by Mark Pilgrim - Apress
This is a book for experienced programmers, a hands-on guide to the Python language. Each chapter starts with a complete code sample, picks it apart and explains the pieces, and then puts it all back together in a summary at the end.
by Mike Pirnat - O'Reilly Media
Even the best programmers make mistakes, some are simple and silly, others embarrassing and downright costly. In this book, Mike Pirnat dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.