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Texts in Computational Science and Engineering #3: Python Scripting for Computational Science

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Synopses & Reviews

Publisher Comments:

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.

Synopsis:

The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on applications relevant to computational scientists.

Synopsis:

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

Product Details

ISBN:
9783540739159
Author:
Langtangen, Hans Petter
Publisher:
Springer
Location:
Berlin, Heidelberg
Subject:
Applied
Subject:
Programming - Software Development
Subject:
Mathematical Physics
Subject:
Computer Science
Subject:
Software Development & Engineering - General
Subject:
Python
Subject:
computational experiments
Subject:
computational science
Subject:
gluing applications
Subject:
Graphical user interfaces
Subject:
multi-language programming
Subject:
scientific computing
Subject:
scripting
Subject:
Text processing
Subject:
Computational science and engineering
Subject:
Numerical and Computational Physics
Subject:
Software Engineering/Programming and Operating Systems
Subject:
Computational intelligence
Subject:
Computational Intelligence <P>This book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. The focus is on examples
Subject:
Personal Computers-General
Subject:
Mathematics
Subject:
B
Subject:
mathematics and statistics
Subject:
Software engineering
Subject:
Engineering
Copyright:
Edition Description:
3rd ed. 2008. Corr. 2nd printing
Series:
Texts in Computational Science and Engineering
Series Volume:
03
Publication Date:
20090213
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
782
Dimensions:
235 x 155 mm 1321 gr

Related Subjects

Computers and Internet » Computer Languages » Python
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » General

Texts in Computational Science and Engineering #3: Python Scripting for Computational Science New Hardcover
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$77.50 In Stock
Product details 782 pages Springer - English 9783540739159 Reviews:
"Synopsis" by , The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on applications relevant to computational scientists.
"Synopsis" by , With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.
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