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.
Home page url
Download or read it online for free here:
by Sean M. Tracey - The MagPi Magazine
In this book, we are going to learn to make games on the Raspberry Pi with Pygame. We'll look at drawing, animation, keyboard and mouse controls, sound, and physics. This book isn't for absolute programming beginners, but it's not far from it.
by Carlos de la Guardia - O'Reilly Media
Python provides web developers with a wide variety of useful web frameworks. This book surveys 30 Python web frameworks that have more than 1,000 monthly downloads and provides a deeper look into six of the most widely used.
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 Allen B. Downey - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.