High Performance Python
by Ian Ozsvald
Publisher: ianozsvald.com 2011
Number of pages: 55
By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
Home page url
Download or read it online for free here:
by Dave Kuhlman
This document contains discussions of several advanced topics that are of interest to Python programmers: regular expressions, unit tests, extending and embedding Python, parsing, GUI applications, guidance on packages and modules.
by K. Schuerer, et al. - Pasteur Institute
This text teaches programming concepts to biologists. It is aimed at people who are not professional computer scientists, but who need a better control of computers for their own research. This course is part of a course in informatics for biology.
by Horst Jens et al. - thepythongamebook.com
The Python Game Book written by Horst Jens and friends aims to provide interested students and teachers a broad range of material to teach themselves how to write computer games using the language Python and other free Open Source tools.
by Jake VanderPlas - O'Reilly Media
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, etc. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.