Author(s):	Pat Miller
Location	Poster II
Date	mar Sun 11	Days Raw Files
Start	08:40	First Raw Start	error-in-template
Duration	00:05:00	Offset	None
End	08:45	Last Raw End
Chapters
Total cuts_time	None min.

http://us.pycon.org/2012/schedule/presentation/497/
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assets release.pdf 21_JP_Morgans_Athena_Persistent_objects_and_minimal_evaluation_for_computational_finance.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

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Description:	Python is great for big data and computational finance. We built the Athena system out of FOSS and custom, in-house components to create a powerful system for our in house needs. The underlying dependency graph is built from Python classes and decorated methods. The data are stored in a custom persistent object store. Developers, quants, and end users all interact with the system with Python! markdown
Comment:	production notes