Python Scripting for Computational Science

3rd edition
The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on applications relevant to computational scientists.

This 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. The focus is on examples and applications of relevance to computational scientists. 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.

Shows how to develop tailored, flexible, and human-efficient working environments using the easy-to-learn, high-level Python language Focuses on examples and applications of practical use to computational scientists Compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools All the tools and examples in the book are open source codes Includes supplementary material: sn.pub/extras

Contenu
Getting Started with Python Scripting.- Basic Python.- Numerical Computing in Python.- Combining Python with Fortran, C, and C++.- to GUI Programming.- Web Interfaces and CGI Programming.- Advanced Python.- Fortran Programming with NumPy Arrays.- C and C++ Programming with NumPy Arrays.- More Advanced GUI Programming.- Tools and Examples.