Python Scripting for Computational Science

1. Front Matter

   Pages I-XXVI

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2. Introduction

   Pages 1-25

3. Getting Started with Python Scripting

   Pages 27-72

4. Basic Python

   Pages 73-130

5. Numerical Computing in Python

   Pages 131-188

6. Combining Python with Fortran, C, and C++

   Pages 189-226

7. Introduction to GUI Programming

   Pages 227-294

8. Web Interfaces and CGI Programming

   Pages 295-318

9. Advanced Python

   Pages 319-449

10. Fortran Programming with NumPy Arrays

    Pages 451-482

11. C and C++ Programming with NumPy Arrays

    Pages 483-528

12. More Advanced GUI Programming

    Pages 529-603

13. Tools and Examples

    Pages 605-676

14. Back Matter

    Pages 677-756

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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.

• C programming language
• C++ programming
• C++ programming language
• C/C++
• FORTRAN
• Open Source
• Python
• Windows
• computational science
• interfaces
• language
• programming
• simulation
• software
• user interface

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)

• Simula Research Laboratory, Lysaker, Norway

  Hans Petter Langtangen

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