- Häftad (Paperback)
- Antal sidor
- 3 Rev ed
- 241 x 157 x 33 mm
- Antal komponenter
- 1200 g
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Yuval Noah HarariHäftad
Python Scripting for Computational Science 3rd EditionThe goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs written in the easy-to-learn, high-level language Python.
The focus is on examples and applications of relevance to computational scientists.
These include binding together existing applications and tools, e.g. for automating simulation, data analysis, and visualization.
The book also covers 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.
The highly qualified author argues that 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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From the reviews of the second edition: <p>"This book addresses primarily a CSE (computational science and engineering) audience. a ] gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community." (H. Muthsam, Monatshefte fA1/4r Mathematik, Vol. 151 (4), 2007)
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.