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21. JP Morgan's Athena -- Persistent objects and minimal evaluation for computational finance
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Next: 7 28. Python for Materials Discovery: Python use in the Materials Project
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Author(s):
Pat Miller
Location
Poster II
Date
mar Sun 11
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08:40
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00:05:00
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08:45
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http://us.pycon.org/2012/schedule/presentation/497/
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21_JP_Morgans_Athena_Persistent_objects_and_minimal_evaluation_for_computational_finance.json
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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!
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