How to Make Mistakes in Python
by Mike Pirnat
Publisher: O'Reilly Media 2015
Number of pages: 82
Even the best programmers make mistakes, some are simple and silly, others embarrassing and downright costly. In this O'Reilly report, Mike Pirnat dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.
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by Zed A. Shaw
This is a very beginner book for people who want to learn to code. If you can already code then the book will probably drive you insane. It's intended for people who have no coding chops to build up their skills before starting a more detailed book.
by Ian Ozsvald - ianozsvald.com
By exploring the theory behind design choices, this practical guide helps you gain a deeper understanding of Python implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
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.
by Charles Severance - PythonLearn
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python.