Python Scripting for Computational Science
by Hans Petter Langtangen
Publisher: Springer 2009
Number of pages: 747
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.
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by Al Sweigart
The book teaches complete beginners how to program in the Python programming language. The book features the source code to several ciphers and hacking programs for these ciphers. The programs include the Caesar cipher, transposition cipher, etc.
by Charles Severance - PythonLearn
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python.
by Mark Guzdial - Georgia Institute of Technology
Guzdial introduces programming as a way of creating and manipulating media -- a context familiar to today's readers. Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications).
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.