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; ...
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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 second edition features new material, reorganization of text, improved examples and tools, updated information, and correction of errors.
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Edition:
2003, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Edition:
2003, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Publisher:
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Published:
2004
Language:
English
Alibris ID:
16963573856
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This is a great book if you are familiar with Matlab programming and are moving into using python. It has been a great resource for me. I am an EE, focused on the circuits side not software, and have had to use python for a modeling program for work. I had zero exposure to Python but had used Matlab for a few years, this book really helped make the transition less painful (actually, it was somewhat fun). I recommend this book as well as the author's more introductory text: A Primer On Scientific Programming in Python. The combination of these two books, plus google, has been enough to do everything I've needed.
