Python Quick Reference
by Richard Gruet
Number of pages: 42
This reference covers invocation options, environment variables, lexical entities, basic types and their operations, advanced types, statements, iterators, generators, descriptors, decorators, built-in functions, built-in exceptions, standard methods & operators redefinition in user-created classes, important modules, list of modules in the base distribution, workspace exploration and idiom hints, python mode for emacs.
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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.
by Nathan Yergler - PyCon
Effective Django development means building applications that are testable, maintainable, and scalable. After reading this book you should have an understanding of how Django's pieces fit together and how to use them to engineer web applications.
by Allen Downey - Green Tea Press
A concise introduction to software design using Python. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
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.