Python Scripting for Computational Science (Hardcover)

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.

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