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Python Scripting for Computational Science [electronic resource] /edited by Hans Petter Langtangen.

by Langtangen, Hans Petter [editor.]; SpringerLink (Online service).

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BookSeries: Texts in Computational Science and Engineering: 3Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: XXVI, 756 p. online resource.ISBN: 9783540739166.Subject(s): Mathematics | Software engineering | Computer science | Physics | Engineering | Mathematics | Computational Science and Engineering | Numerical and Computational Methods | Software Engineering/Programming and Operating Systems | Computational IntelligenceDDC classification: 004 Online resources: Click here to access online

Contents:

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.

In: Springer eBooksSummary: 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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Item type	Current location	Call number	Status	Date due	Barcode
	MAIN LIBRARY	QA71-90 (Browse shelf)	Available

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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Python Scripting for Computational Science [electronic resource] /edited by Hans Petter Langtangen.

by Langtangen, Hans Petter [editor.]; SpringerLink (Online service).