Download Python Scripting for Computational Science (3rd Edition) by Hans Petter Langtangen PDF

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By Hans Petter Langtangen

The objective of this e-book is to educate computational scientists the way to enhance adapted, versatile, and human-efficient operating environments equipped from small courses written within the easy-to-learn, high-level language Python.

The concentration is on examples and functions of relevance to computational scientists.

These comprise binding jointly current purposes and instruments, e.g. for automating simulation, facts research, and visualization.

The e-book additionally covers steerage simulations and computational experiments; equipping previous courses with graphical person interfaces; making computational internet functions; and developing interactive interfaces with a Maple/Matlab-like syntax to numerical purposes in C/C++ or Fortran.

The hugely certified writer argues that scripting with Python makes you even more effective, raises the reliability of your clinical paintings and allows you to have extra enjoyable - on Unix, home windows and Macintosh.

All the instruments and examples during this booklet are open resource codes. The 3rd variation is suitable with the recent NumPy implementation and lines up to date info, correction of blunders, and stronger linked software program instruments.

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Read or Download Python Scripting for Computational Science (3rd Edition) (Texts in Computational Science and Engineering, Volume 3) PDF

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Additional info for Python Scripting for Computational Science (3rd Edition) (Texts in Computational Science and Engineering, Volume 3)

Example text

11). 7 being an example, accept any type of argument, but Python issues run-time error messages when an operation is incompatible with the supplied type of argument. The plot function above accepts only a limited set of argument types and could convert different types to a uniform representation (floating-point numbers xmin and xmax) within the function. The nature and functionality of Python give you a full-fledged, advanced programming language at disposal, with the clean and easy-to-use interface syntax that has obtained great popularity through environments like Maple and Matlab.

And Keys to specify the type of bindings). The standard Python module for generation of uniform random numbers is called random. To figure out how to use this module, you can look up the description of the module in the Python Library Reference [37]. html into a web browser and click on the link Python Library Reference: Index. You will then see the index of Python functions, modules, data structures, etc. Find the item “random (standard module)” in the index and follow the link. This will bring you to the manual page for the random module.

This run-time code generation provides a flexibility not offered by compiled, type-safe languages. quad is actually a Fortran routine in the classical QUADPACK library from Netlib [25]. 14 1. 1 to see what the StringFunction tool really is). The presented code segment handles any such input file, regardless of the number of and name of the variables. This is a striking example on the usefulness and power of run-time code generation. ) Our general tool for turning input file commands into variables in a code can be extended with support for physical units.

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