Algorithmic Problem Solving with Python
by John B. Schneider, Shira Lynn Broschat, Jess Dahmen
Publisher: Washington State University 2015
Number of pages: 360
Python's syntax and idioms are much easier to learn than those of most other full-featured languages. This book uses programming language Python to introduce folks to programming and algorithmic thinking. The book is completely hyper-linked.
Home page url
Download or read it online for free here:
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 W.J. Turkel, A. Crymble, A. MacEachern - NiCHE
This book is a tutorial-style introduction to programming in Python for practicing historians (and other humanists). We assume that you're starting out with no prior programming experience and only a basic understanding of computers.
by Mark Guzdial - Georgia Institute of Technology
Guzdial introduces programming as a way of creating and manipulating media -- a context familiar to today's readers. Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications).
by Guido Van Rossum - Network Theory Ltd.
The definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. It covers advanced topics, and is suitable for readers who are familiar with the details and rules of the Python and its object system.