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 Jody Scott Ginther - toonzcat.com
This book is meant to help you begin learning the basics of Python programming version 3 or later. It is a brief introduction to Python. The author attempts to be as brief as possible to get the new programmer into programming as fast as possible.
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 Mike Pirnat - O'Reilly Media
Even the best programmers make mistakes, some are simple and silly, others embarrassing and downright costly. In this book, Mike Pirnat dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.
by Guido van Rossum - Network Theory Ltd.
This book is an introduction to Python, an easy to learn, powerful programming language. The tutorial explains the basics of the Python, it does not cover every single feature of the language, but introduces the most noteworthy features.