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 Svein Linge, Hans Petter Langtangen - Springer
This book presents Python programming as a key method for solving mathematical problems. The style is accessible and concise, the emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
by EuroScipy tutorial team
Teaching material on the scientific Python ecosystem, a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.
by Steven F. Lott
The book will help you build basic programming skills. It is organized in a way that builds up the language in layers from simple concepts to more advanced features. Programming exercises are provided to encourage further exploration of each layer.
by Jeffrey Elkner, at al.
The goal of this book is twofold: to teach you how to program in Python; and to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science.