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High Performance Python II
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psf
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pycon_2012
--room D2 687 --force
Next: 6 Social Network Analysis with Python
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Marks
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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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.
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