Python scripting for computational science
"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. 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."--Jacket
1 online resource (xxiv, 750 pages) : illustrations
9783540739166, 9783540739159, 9786611355142, 9781281355140, 3540739165, 3540739157, 6611355146, 1281355143
233973367
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
English
Full text available: 2008. Available in Springer eBooks (Complete Collection 2008).
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