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Tutorial
Scientific Computing with Python
Eric Jones, Enthought

Track: Python
Date: Monday, July 07
Time: 1:45pm - 5:15pm
Location: Eugene
Python is an open-source platform-independent scripting language that has a wealth of general-purpose libraries. It is elegant, easy to use, and possesses numeric features similar to those of Matlab. These traits, along with its ability to "wrap" legacy C and Fortran libraries, make Python well suited to scientific programming. This tutorial focuses on tools for scientific applications. The Numeric module, which provides Python with array/vector math capabilities, is covered in depth. The SciPy library of scientific algorithms is also discussed at length. Graphics libraries for both 2d plotting (Chaco) and 3d visualization using the Visualization Tool Kit (VTK) are discussed. Finally, several examples illustrating how to integrate your legacy C and Fortran code into Python's scriptable environment are covered.

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