Python Scripting for Computational Science
by Hans Petter Langtangen
Publisher: Springer 2009
Number of pages: 747
With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language.
Download or read it online for free here:
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 John C. Lusth - The University of Alabama
Contents: Starting Out; Literals; Combining Literals; Precedence and Associativity; Variables; Assignment; Conditionals; Functions; Python Programs and Using Files; Input and Output; Scope; Loops; Recursion; Arrays; Sorting; Footnotes; etc.
by Jeffrey Elkner, at al.
The goal of this book is twofold: to teach you how to program in Python; and to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science.
by Boudewijn Rempt - OpenDocs, LLC
This book covers application development using the library extension PyQt, which forms the basis for GUI programming. First part explains concepts using small examples, in the second part the author develops a complete, complex application.