Python Data Science Handbook
by Jake VanderPlas
Publisher: O'Reilly Media 2016
Number of pages: 548
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.
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by Hannes Röst, et al. - Wikibooks
This book describes Python, an open-source general-purpose interpreted programming language, available for all Platforms. Python is a high-level, structured programming language that can be used for a wide variety of programming tasks.
by David Mertz - O'Reilly Media
There are two major versions of the Python: the Python 2.x series, and the newer Python 3.x series. This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you.
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 Alan Gauld - Addison-Wesley Professional
Book for hobbyists, self-starters, and all who want to learn the art of computer programming in Python. Data types and variables, debugging, and namespaces are covered. Also includes sample applications that illustrate ideas and techniques in action.