Python Scripting for Computational Science

Hans Petter Langtangen

ISBN 10: 3540294155 / ISBN 13: 9783540294153

Editore: Springer, 2005

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pp. xxiv + 736 2nd Edition. Codice articolo 26299348

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Titolo: Python Scripting for Computational Science

Casa editrice: Springer

Data di pubblicazione: 2005

Legatura: Rilegato

Condizione: New

Edizione: seconda edizione

Descrizione articolo

Riassunto:

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 second edition features new material, reorganization of text, improved examples and tools, updated information, and correction of errors.

Recensione:

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)

“This book is excellent for people in computational sciences wanting to learn Python, or for people new to numerical computations. Python is an exciting programming language (scripting language to be specific) allowing rapid application development. ... the aim of the present book is ... learning how to program in Python. With it’s 760 pages it offers many examples and tips. ... meets its goals in a convincing way. It provides a very good start to do numerical computations with Python.” (Benny Malengier, Bulletin of the Belgian Mathematical Society, Vol. 15 (1), 2008)