Python Scripting for Computational Science (Texts in Computational Science and Engineering, 3)

Langtangen, Hans Petter

ISBN 10: 3540739157 / ISBN 13: 9783540739159

Published by Springer, 2007

About this Item

Fast Free Shipping â Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

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Bibliographic Details

• Title: Python Scripting for Computational Science (Texts in Computational Science and Engineering, 3)
• Publisher: Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 3540739157
• ISBN 13: 9783540739159
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: good

About this title

Synopsis

Numerous readers of the second edition have noti?ed me about misprints and possible improvements of the text and the associated computer codes. The resulting modi?cations have been incorporated in this new edition and its accompanying software. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly di?erent syntax compared to the old Numeric implementation, which was used in the previous editions. Since Numerical Python functionality appears in a lot of places in the book, there are hence a huge number of updates to the new suggested numpy syntax, especially in Chapters 4, 9, and 10. The second edition was based on Python version 2.3, while the third edition contains updates for version 2.5. Recent Python features, such as generator expressions (Chapter 8.9.4), Ctypes for interfacing shared libraries in C (Chapter 5.2.2), the with statement (Chapter 3.1.4), and the subprocess module for running external processes (Chapter 3.1.3) have been exempli?ed to make the reader aware of new tools. Chapter 4.4.4 is new and gives a taste of symbolic mathematics in Python.

Review

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)