Python Scripting for Computational Science / Edition 3

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Overview

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

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Editorial Reviews

From the Publisher
From the reviews of the second edition:

"This book addresses primarily a CSE (computational science and engineering) audience. … gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community." (H. Muthsam, Monatshefte für Mathematik, Vol. 151 (4), 2007)

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Product Details

  • ISBN-13: 9783540739159
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 2/13/2009
  • Series: Texts in Computational Science and Engineering Series , #3
  • Edition description: 3rd ed. 2008. Corr. 2nd printing 2009
  • Edition number: 3
  • Pages: 756
  • Product dimensions: 6.40 (w) x 9.40 (h) x 1.30 (d)

Meet the Author

Hans Petter Langtangen is a professor of computer science at the University of Oslo, currently on leave from his position, andis nowDirector of a Norwegian Center of Excellence "Center for Biomedical Computing", at Simula Research Laboratory. Langtangen has published over 100 scientific publications and written several books, including papers and a book on Python's potential for scientific computing. He has also developed open source and commercial software systems for computational sciences.

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Table of Contents

1 Introduction 1
2 Getting started with Python scripting 27
3 Basic Python 73
4 Numerical computing in Python 131
5 Combining Python with Fortran, C, and C++ 183
6 Introduction to GUI programming 219
7 Web interfaces and CGI programming 289
8 Advanced Python 313
9 Fortran programming with numerical Python arrays 443
10 C and C++ programming with numerical Python arrays 475
11 More advanced GUI programming 515
12 Tools and examples 591
A Setting up the required software environment 663
B Elements of software engineering 679
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