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
This book is a complete presentation of the Python for professional programmers who need to learn the language. The author leads you from a tiny, easy to understand subset of statements to the entire Python language and all built-in data structures.
by David Mertz - O'Reilly Media
Python is not a functional programming language, but it is a multi-paradigm language that makes functional programming easy to perform. This book examines the functional aspects of the language and points out which options work well and which do not.
by Bruno R. Preiss
The primary goal of this book is to promote object-oriented design using Python and to illustrate the use of the emerging object-oriented design patterns. The book shows how these patterns are used to create good software designs.
by Lennart Regebro
Porting to Python 3 doesn't have to be daunting. This book guides you through the process of porting your Python 2 code to Python 3. Using plenty of code examples is takes you cross the hurdles and shows you the new Python features.