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. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.
Title Python Scripting for Computational Science
Author(s) Hans Petter Langtangen
Publisher: Springer (November 23, 2010)
Hardcover/Paperback 784 pages
ebook HTML and PDF (491 pages, 2.8 MB)
Language: English
ISBN-10: 3642093159
ISBN-13: 978-3642093159
eBook: http://folk.uio.no/hpl/scripting/ebook/index.html
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