Python Scripting for Computational Science
The primary purpose of this book is to help scientists and engineers work ing intensively with computers to become more productive, have more fun, and increase the reliability of their investigations. Scripting in the Python programming language can be a key tool for reaching these goals [27,29]. T...
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004, 2004
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| Edition: | 1st ed. 2004 |
| Series: | Texts in Computational Science and Engineering
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 2 Getting Started with Python Scripting
- 3 Basic Python
- 4 Numerical Computing in Python
- 5 Combining Python with Fortran, C, and C++
- 6 Introduction to GUI Programming
- 7 Web Interfaces and CGI Programming
- 8 Advanced Python
- 9 Fortran Programming with NumPy Arrays
- 10 C and C++ Programming with NumPy Arrays
- 11 More Advanced GUI Programming
- 12 Tools and Examples
- A Setting up the Required Software Environment
- A.1 Installation on Unix Systems
- A.1.1 A Suggested Directory Structure
- A.1.2 Setting Some Environment Variables
- A.1.3 Installing Tcl/Tk and Additional Modules
- A.1.4 Installing Python
- A.1.5 Installing Python Modules
- A.1.6 Installing Gnuplot
- A.1.7 Installing SWIG
- A.1.8 Summary of Environment Variables
- A.1.9 Testing the Installation of Scripting Utilities
- A.2 Installation on Windows Systems
- B Elements of Software Engineering
- B.1 Building and Using Modules
- B.1.1 Single-File Modules
- B.1.2 Multi-File Modules
- B.1.3 Debugging and Troubleshooting
- B.2 Tools for Documenting Python Software
- B.2.1 Doc Strings
- B.2.2 Tools for Automatic Documentation
- B.3 Coding Standards
- B.3.1 Style Guide
- B.3.2 Pythonic Programming
- B.4 Verification of Scripts
- B.4.1 Automating Regression Tests
- B.4.2 Implementing a Tool for Regression Tests
- B.4.3 Writing a Test Script
- B.4.4 Verifying Output from Numerical Computations
- B.4.5 Automatic Doc String Testing
- B.4.6 Unit Testing
- B.5 Version Control Management
- B.5.1 Getting Started with CVS
- B.5.2 Building Scripts to Simplify the Use of CVS
- B.6 Exercises