Algorithmic Problem Solving with Python
by John B. Schneider, Shira Lynn Broschat, Jess Dahmen
Publisher: Washington State University 2015
Number of pages: 360
Python's syntax and idioms are much easier to learn than those of most other full-featured languages. This book uses programming language Python to introduce folks to programming and algorithmic thinking. The book is completely hyper-linked.
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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 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 Richard Gruet
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, and more.
by Steven Thurlow - Wikibooks
Contents of Beginner's Python Tutorial: Installing Python; Very Simple Programs; Variables, Scripts; Loops, Conditionals; Functions; Tuples, Lists, Dictionaries; for Loop; Classes; Importing Modules; File I/O; Exception Handling.