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Name: Python for Data Analysis
--client psf --show pycon2013 --room MissionCityM2 2027 --force
Next: 11 IPython in-depth: high-productivity interactive and parallel python

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Author(s):	Travis Oliphant, Peter Wang, Benjamin Zaitlen
Location	Mission City M2
Date	mar Thu 14	Days Raw Files
Start	09:00	First Raw Start	08:52
Duration	03:20:00	Offset	0:07:50
End	12:20	Last Raw End	13:03
Chapters	00:00 1:34:00 2:57:29
Total cuts_time	179 min.

https://us.pycon.org/2013/schedule/presentation/26/
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assets release.pdf Python_for_Data_Analysis.json
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Description:	Python has long played a role in analyzing large scale data. From tightly-knit super-computers running MPI-based applications to heterogeneous clusters woven together with scripts, Python has had a role to play in making it easier to processes data. This tutorial will cover the tried and true techniques as well as introduce new trends. markdown
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