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.
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by Brian Heinold - Mount St. Mary's University
Partly a tutorial and partly a reference book. I summarize information in tables and give a lot of short example programs. I also jump right into things and fill in background information as I go, rather than covering the background material first.
by Ajith Kumar - Inter University Accelerator Centre
Primary objective of this book is to explore the possibilities of using Python language as a tool for learning mathematics and science. The reader is not assumed to be familiar with computer programming. Ability to think logically is enough.
by Al Sweigart - No Starch Press
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand -- no experience required. Once you've mastered the basics, you'll create Python programs that effortlessly perform impressive feats of automation.
by Al Sweigart - inventwithpython.com
The book teaches complete beginners how to program in the Python programming language. It features the source code to several ciphers and hacking programs for these ciphers. The final chapters cover the modern RSA cipher and public key cryptography.