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Python and HDF5 - Fast Storage for Large Data
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psf
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pycon_2012
--room E2 762 --force
Next: 6 Storm: the Hadoop of Realtime Stream Processing
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Marks
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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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.
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