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.
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by Matt Makai - FullStackPython.com
You're knee deep in learning the Python programming language. The syntax is starting to make sense. Now you want to take your knowledge and make something real. This book explains each Python web application stack layer and provides the resources.
by Guido Van Rossum - Network Theory Ltd.
The definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. It covers advanced topics, and is suitable for readers who are familiar with the details and rules of the Python and its object system.
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.
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.