Python Scripting for Computational Science

by Hans Petter Langtangen

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.

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

782 pages, Paperback

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 !!