Python Scripting for Computational Science

Hans Peter Langtangen - Collection Texts in Computational Science and Engineering

730 pages, parution le 12/08/2004

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Résumé

Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in 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.

Written for:
Undergraduate students in computer science and computational science and engineering and researchers

L'auteur - Hans Peter Langtangen

Simula Research Laboratory, Lysaker, and Dept. of Informatics, University of Oslo, Norway

Sommaire

Introduction
Getting started with Python Scripting
Basic Python
Numerical Computing in Python
Combining Python with Fortran C, and C++
Introduction to GUI Programming
Web Interfaces and CGI Programming
Advanced Python
Fortran Programming with NumPy Arrays
More Advanced GUI Programming Tools and Examples
A. Setting up the Required Software Environment
B. Elements of Software Engineering

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Hans Peter Langtangen
Collection	Texts in Computational Science and Engineering
Parution	12/08/2004
Nb. de pages	730
Format	16 x 24
Couverture	Relié
Poids	1170g
Intérieur	Noir et Blanc
EAN13	9783540435082