Python Scripting for Computational Science: v. 3 (Texts in Computational Science and Engineering) - Tapa dura

Langtangen, Hans Petter

 
9783540294153: Python Scripting for Computational Science: v. 3 (Texts in Computational Science and Engineering)
Tapa dura
ISBN 10: 3540294155 ISBN 13: 9783540294153
Editorial: Springer Verlag, 2007

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

From the reviews of the second edition: "This book addresses primarily a CSE (computational science and engineering) audience. a ] gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community." (H. Muthsam, Monatshefte fA1/4r Mathematik, Vol. 151 (4), 2007)

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer Verlag
Año de publicación
2007
Idioma
Inglés
ISBN 10 
3540294155
ISBN 13 
9783540294153
Encuadernación
Tapa dura
Número de edición
2
Número de páginas
760
Contacto del fabricante
no disponible
Persona responsable
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