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 Mike Pirnat - O'Reilly Media
Even the best programmers make mistakes, some are simple and silly, others embarrassing and downright costly. In this book, Mike Pirnat dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.
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 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.
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.