matplotlib Code

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Intro 1 hour talk.


Why Python (30 minutes)

  *Strengths and weaknesses of other languages: 

    VB, C, C++, Perl, Matlab, Java

  * Interpreted (cross-platform, insulates you from the machine)

  * Fits your brain (hello world in 4 languages)
  
  * Plays well with other languages (intro automated wrapper building)

  * Suite of excellent libraries for scientific computing

  * Free and open source -- fits the educational and research model

Overview of scientifc computing in python (30 minutes)

  * Provide a rapid fire tour of the many libraries for analysis,
    visualization and high performance computing in python: 

Intro to python (2 hours)

  * the python shell 

  * the ipython shell

  * the fundamental data types: int, float, string, list, tuple, dict

  * functions

  * modules - code reuse

  * objects (data + methods together, writing a class, attributes and methods)

  * flow control : loops, conditionals, try/except

  * the standard library (os, sys, math, re, urllib)


Lunch


Introduction to scientific computing in python (1.5 hours)

  * Numeric/numarray - array processing (look ma, no loops!)

  * making plots with matplotlib, using pylab

  * semi-advanced examples


IPython  (1 hour)

  * overview of scipy algorithms


3-D (1 hour)

  * Cube

  * Working with medical image data / VTK

  * 3D with mayavi



Introduction to mixed language programming (1 hour)

  * overview of f2py, swig, boost, pycxx, weave

  * example of wrapping a simple header with swig