Python Scripting for Computational Science

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 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.

Genres: Programming, Reference, Computers, Coding, Ebooks, Technical, Textbooks

736 pages, Hardcover

First published September 20, 2004

Reviews

[Wouter · Rating 5 out of 5]

This is a very practical book for scientists and researchers needing to get things done. Python is introduced in a very pragmatic and elegant way for typical scientific tasks (typical file reading/parsing scripting, numeric processing, optimization, mathematical processing, etc.). I wished I had this book 5 years ago, would recommend it to any starting researcher (or researcher looking for an adequate environment to glue his computational research efforts).

[Masoom]

The book gives a flavor to the one who needs robust programming.
If you have just started then this might be the novice one for you !!