Ebook: Python Scripting for Computational Science
Author: Hans Petter Langtangen (auth.)
- Genre: Computers // Programming: Programming Languages
- Tags: Computational Science and Engineering, Numerical and Computational Methods, Software Engineering/Programming and Operating Systems, Numerical and Computational Methods in Engineering
- Series: Texts in Computational Science and Engineering 3
- Year: 2006
- Publisher: Springer Berlin Heidelberg
- Language: English
- pdf
The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping old programs with graphical user interfaces; making computational Web applications; and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The third edition is compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools.
The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping old programs with graphical user interfaces; making computational Web applications; and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The third edition is compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools.
Content:
Front Matter....Pages I-XXIV
Introduction....Pages 1-25
Getting Started with Python Scripting....Pages 27-72
Basic Python....Pages 73-129
Numerical Computing in Python....Pages 131-181
Combining Python with Fortran, C, and C++....Pages 183-218
Introduction to GUI Programming....Pages 219-287
Web Interfaces and CGI Programming....Pages 289-312
Advanced Python....Pages 313-441
Fortran Programming with Numerical Python Arrays....Pages 443-473
C and C++ Programming with Numerical Python Arrays....Pages 475-514
More Advanced GUI Programming....Pages 515-589
Tools and Examples....Pages 591-662
Back Matter....Pages 663-742
The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping old programs with graphical user interfaces; making computational Web applications; and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The third edition is compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools.
Content:
Front Matter....Pages I-XXIV
Introduction....Pages 1-25
Getting Started with Python Scripting....Pages 27-72
Basic Python....Pages 73-129
Numerical Computing in Python....Pages 131-181
Combining Python with Fortran, C, and C++....Pages 183-218
Introduction to GUI Programming....Pages 219-287
Web Interfaces and CGI Programming....Pages 289-312
Advanced Python....Pages 313-441
Fortran Programming with Numerical Python Arrays....Pages 443-473
C and C++ Programming with Numerical Python Arrays....Pages 475-514
More Advanced GUI Programming....Pages 515-589
Tools and Examples....Pages 591-662
Back Matter....Pages 663-742
....