
Overview
- Shows how to develop tailored, flexible, and human-efficient working environments using the easy-to-learn, high-level Python language
- Focuses on examples and applications of practical use to computational scientists
- Compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools
- All the tools and examples in the book are open source codes
- Includes supplementary material: sn.pub/extras
Part of the book series: Texts in Computational Science and Engineering (TCSE, volume 3)
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Keywords
Table of contents (12 chapters)
Reviews
From the reviews of the second edition:
"This book addresses primarily a CSE (computational science and engineering) audience. … gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community." (H. Muthsam, Monatshefte für Mathematik, Vol. 151 (4), 2007)
Editors and Affiliations
Bibliographic Information
Book Title: Python Scripting for Computational Science
Editors: Hans Petter Langtangen
Series Title: Texts in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-540-73916-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-73915-9Published: 11 December 2007
Softcover ISBN: 978-3-642-09315-9Published: 22 November 2010
eBook ISBN: 978-3-540-73916-6Published: 05 December 2007
Series ISSN: 1611-0994
Series E-ISSN: 2197-179X
Edition Number: 3
Number of Pages: XXVI, 756
Topics: Computational Science and Engineering, Numerical and Computational Physics, Simulation, Software Engineering/Programming and Operating Systems, Computational Intelligence