High Performance Python
by Ian Ozsvald
Publisher: ianozsvald.com 2011
Number of pages: 370
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.
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 Swaroop C H
This is a tutorial and a guide on Python programming for absolute beginners. If all you know about computers is how to save text files, then this is the book for you. The book is updated for the upcoming Python 3.0 language.
by Al Sweigart - No Starch Press
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand -- no experience required. Once you've mastered the basics, you'll create Python programs that effortlessly perform impressive feats of automation.
by John C. Lusth - The University of Alabama
Contents: Starting Out; Literals; Combining Literals; Precedence and Associativity; Variables; Assignment; Conditionals; Functions; Python Programs and Using Files; Input and Output; More about Functions; Scope; Loops; Lists; Recursion; etc.