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Name: pandas: Powerful data analysis tools for Python
--client psf --show pycon_2012 --room E2 735 --force
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Author(s):	Wes McKinney
Location	Track III (E2)
Date	mar Fri 09	Days Raw Files
Start	March 9, 2012, 5:20 p.m.	First Raw Start	March 8, 2012, 5:19 p.m.
Duration	00:40:00	Offset	1 day, 0:00:17
End	March 9, 2012, 6 p.m.	Last Raw End	March 8, 2012, 5:54 p.m.
Chapters	00:00
Total cuts_time	34 min.

http://us.pycon.org/2012/schedule/presentation/416/
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Description:	pandas is a Python library providing fast, expressive data structures for working with structured or relational data sets. In addition to being used for general purpose data manipulation and data analysis, it has also been designed to enable Python to become a competitive statistical computing platform. In this talk, I will discuss the library's features and show a variety of topical examples. markdown
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2012-03-08/17:19:43.dv Apply: 17:19:43 - 17:54:19 ( 00:34:36 ) S: 17:19:43 - E: 17:54:19 D: 00:34:36 show more...

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2012-03-08/17:54:20.dv Apply: 17:54:20 - 17:54:49 ( 00:00:29 ) S: 17:54:20 - E: 17:54:49 D: 00:00:29 show more...

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2012-03-08/17:19:43.dv
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2012-03-08/17:54:20.dv
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