ENGLISH

Python Scripting for Computational Science

By Hans Petter Langtangen (auth.)

Book information

Publisher
Springer Berlin Heidelberg
Year
2006
ISBN
978-3-540-29415-3, 978-3-540-31269-7
DOI
10.1007/3-540-31269-2
Language
english
Format
PDF
Filesize
5 MB (5409374 bytes)
Series
Texts in Computational Science and Engineering 3
Pages
2nd ed., XXIV, 736 p. 62 illus.\755
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Computational Science and Engineering;Numerical an

Description

The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping old programs with graphical user interfaces; making computational Web applications; and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The third edition is compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools.

Similar books