Python Scripting for Computational Science

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Springer Science & Business Media, Dec 5, 2007 - Computers - 756 pages
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.
 

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Contents

Introduction
1
Getting Started with Python Scripting 27
26
2
31
Basic Python
73
Numerical Computing in Python
131
Combining Python with Fortran C and C++
189
Introduction to GUI Programming
227
10
267
Fortran Programming with NumPy Arrays
451
and C++ Programming with NumPy Arrays
483
More Advanced GUI Programming
529
Tools and Examples 605
604
A Setting up the Required Software Environment
677
B Elements of Software Engineering
689
Coding Standards
702
Exercises
734

Web Interfaces and CGI Programming
295
Advanced Python
319

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