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 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.
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 Ajith Kumar - Inter University Accelerator Centre
Primary objective of this book is to explore the possibilities of using Python language as a tool for learning mathematics and science. The reader is not assumed to be familiar with computer programming. Ability to think logically is enough.
by Fredrik Lundh, Matthew Ellis - PythonWare
The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.