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Name: Python and HDF5 - Fast Storage for Large Data
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Author(s):	Mike Müller
Location	Track III (E2)
Date	mar Sat 10	Days Raw Files
Start	13:35	First Raw Start	13:30
Duration	00:40:00	Offset	0:04:29
End	14:15	Last Raw End	14:49
Chapters	00:00
Total cuts_time	26 min.

http://us.pycon.org/2012/schedule/presentation/231/
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assets release.pdf Python_and_HDF5_Fast_Storage_for_Large_Data.json
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Description:	The presentation introduces the possibilities to use HDF5 (Hierarchical Data Format) from Python. HDF5 is one of the fastest ways to store large amounts of numerical data. The talk is for scientist who would like to store their measured or calculated data as well as for programmers who are interested in non-relational data storage. markdown
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