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Name: High Performance Python II
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Author(s):	Travis Oliphant
Location	D2-Tutorials II
Date	mar Thu 08	Days Raw Files
Start	13:20	First Raw Start	12:23
Duration	03:20:00	Offset	0:56:18
End	16:40	Last Raw End	16:28
Chapters	00:00
Total cuts_time	120 min.

http://us.pycon.org/2012/schedule/presentation/343/
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Description:	In this tutorial, I will cover how to write very fast Python code for data analysis. I will briefly introduce NumPy and illustrate how fast code for Python is written in SciPy using tools like Fwrap / F2py and Cython. I will also describe interesting new approaches to creating fast code that is leading changes to NumPy on a fundamental level. markdown
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