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.

Python Scripting for Computational Science (Texts in Computational Science and Engineering) PDF

755 Pages·2005·4.284 MB·English

by Hans Petter Langtangen

#Programming #Computers

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Python Scripting for Computational Science (Texts in Computational Science and Engineering) • Digital Edition • Free Download

By Hans Petter Langtangen| File: 4.284| English| 2005

#Programming #Computers

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Resource 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.

Publication Details

Title:	Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Author:	Hans Petter Langtangen
Published by:
Publication date:	2005
ISBN:	9783540294153
Document length:	755 pages
Written in:	English
Digital size:	4.284
Access type:	Library Collection • No Cost

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