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 Al Sweigart - No Starch Press
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand -- no experience required. Once you've mastered the basics, you'll create Python programs that effortlessly perform impressive feats of automation.
by A. Holovaty, J. Kaplan-Moss - Apress
Django is the Python–based equivalent to the Ruby on Rails web development framework. The authors show you how they use this framework to create award–winning web sites. This is the first edition of the Django Book which covers 0.96 version.
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Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
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The Python Game Book written by Horst Jens and friends aims to provide interested students and teachers a broad range of material to teach themselves how to write computer games using the language Python and other free Open Source tools.