ENGLISH

Python Scripting for Computational Science

Book information

Publisher
Springer
Year
2004
ISBN
9783540435082, 3540435085
LCC
QA76.73.P98 L36 2004
Open Library ID
OL3315140M
Language
english
Format
PDF
Filesize
5 MB (5116717 bytes)
Series
Texts in Computational Science and Engineering
Edition
1
Pages
747\747
Library
Springer
Time added
2009-08-06 07:02:15

Description

The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - under Unix, Windows and MacIntosh.

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