Python Scripting for Computational Science / Edition 2

Python Scripting for Computational Science / Edition 2

by Hans Petter Langtangen
     
 

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

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Overview

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.

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Product Details

ISBN-13:
9783540294153
Publisher:
Springer-Verlag New York, LLC
Publication date:
02/28/2006
Series:
Texts in Computational Science and Engineering Ser.
Edition description:
New Edition
Pages:
736
Product dimensions:
6.40(w) x 9.40(h) x 1.30(d)

Table of Contents

1Introduction1
2Getting started with Python scripting27
3Basic Python73
4Numerical computing in Python131
5Combining Python with Fortran, C, and C++183
6Introduction to GUI programming219
7Web interfaces and CGI programming289
8Advanced Python313
9Fortran programming with numerical Python arrays443
10C and C++ programming with numerical Python arrays475
11More advanced GUI programming515
12Tools and examples591
ASetting up the required software environment663
BElements of software engineering679

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