How to Think Like a Computer Scientist: Learning with Python
by Jeffrey Elkner, Allen B. Downey, Chris Meyers
Publisher: Green Tea Press 2012
This is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.
Home page url
Download or read it online for free here:
by Fredrik Lundh - O'Reilly
A large collection of useful Python scripts, the best parts of comp.lang.python newsgroup messages, plus hundreds of new scripts. The text covers the standard library, the examples should work on most platforms and Python versions.
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 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.
by K. Schuerer, et al. - Pasteur Institute
This text teaches programming concepts to biologists. It is aimed at people who are not professional computer scientists, but who need a better control of computers for their own research. This course is part of a course in informatics for biology.