Logo - springer
Slogan - springer

Mathematics - Computational Science & Engineering | Python Scripting for Computational Science (Reviews)

Python Scripting for Computational Science

Langtangen, Hans Petter

2nd ed. 2006, XXIV, 736 p. 62 illus.

eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

(net) price for USA

ISBN 978-3-540-31269-7

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

$59.95

From the reviews of the second edition:

"This book addresses primarily a CSE (computational science and engineering) audience. … gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community." (H. Muthsam, Monatshefte für Mathematik, Vol. 151 (4), 2007)

“This book is excellent for people in computational sciences wanting to learn Python, or for people new to numerical computations. Python is an exciting programming language (scripting language to be specific) allowing rapid application development. … the aim of the present book is … learning how to program in Python. With it’s 760 pages it offers many examples and tips. … meets its goals in a convincing way. It provides a very good start to do numerical computations with Python.” (Benny Malengier, Bulletin of the Belgian Mathematical Society, Vol. 15 (1), 2008)

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Science and Engineering.