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＜電子ブック＞
Python Scripting for Computational Science / by Hans Petter Langtangen
(Texts in Computational Science and Engineering. ISSN:2197179X ; 3)

版	3rd ed. 2008.
出版者	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
出版年	2008
本文言語	英語
大きさ	XXVI, 756 p : online resource
著者標目	*Langtangen, Hans Petter author SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Mathematical physics LCSH:Software engineering LCSH:Computational intelligence FREE:Computational Science and Engineering FREE:Theoretical, Mathematical and Computational Physics FREE:Software Engineering FREE:Computational Intelligence
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-3-540-73916-6

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