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 Kenneth Reitz - O'Reilly Media
This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis. You'll find a nice concise list of highly recommended options.
by Fredrik Lundh - O'Reilly
A large collection of useful Python scripts, the best parts of comp.lang.python newsgroup messages, plus hundreds of new scripts. The text covers the standard library, the examples should work on most platforms and Python versions.
by Jake VanderPlas - O'Reilly Media
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, etc. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.
by Cody Jackson - Google Docs
An introduction to computer programming, using the easy, yet powerful, Python programming language. Python, a cross-platform language, lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language.