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 Steven F. Lott
The book will help you build basic programming skills. It is organized in a way that builds up the language in layers from simple concepts to more advanced features. Programming exercises are provided to encourage further exploration of each layer.
by John C. Lusth - The University of Alabama
Contents: Starting Out; Literals; Combining Literals; Precedence and Associativity; Variables; Assignment; Conditionals; Functions; Python Programs and Using Files; Input and Output; More about Functions; Scope; Loops; Lists; Recursion; etc.
by Josh Cogliati - Wikibooks
This free tutorial is designed to be an introduction to the Python programming language. The guide is for someone with no programming experience. The author attempts to teach programming by reading code and writing code.
by Matt Makai - FullStackPython.com
You're knee deep in learning the Python programming language. The syntax is starting to make sense. Now you want to take your knowledge and make something real. This book explains each Python web application stack layer and provides the resources.