Design Patterns In Python
by Rahul Verma, Chetan Giridhar
Publisher: Testing Perspective 2011
Number of pages: 38
This book is about learning design patterns through the medium of Python language. 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. 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.
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by Svein Linge, Hans Petter Langtangen - Springer
This book presents Python programming as a key method for solving mathematical problems. The style is accessible and concise, the emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
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 David Mertz - O'Reilly Media
There are two major versions of the Python: the Python 2.x series, and the newer Python 3.x series. This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you.
by Kristian Rother - GitBook
This is a tutorial for novice programmers, it works best if you follow the exercises step by step. If you are fluent in any programming language, this might be very easy for you. It contains little material on the higher abstraction levels in Python.