Python for Informatics: Exploring Information
by Charles Severance
Publisher: PythonLearn 2010
Number of pages: 220
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
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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.
This is an unofficial free book created for educational purposes. The book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA.
by Dave Kuhlman
This document is a syllabus for a first course in Python programming. It contains an introduction to the Python language, instruction in the important features of the language, and practical exercises in the use of those features.
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.