I also recently learned that Panda's can talk to a PyTable's HDF data storage on... | Hacker News

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		gallamine on Nov 22, 2013 \| parent \| context \| favorite \| on: How Python became the language of choice for data ... I also recently learned that Panda's can talk to a PyTable's HDF data storage on disk. This should be fairly seemless and can help reduce some memory issues with larger datasets. Yves Hilpisch did a nice talk on "Performance Python" that goes into this: http://hilpisch.com/YH_Performance_Python_Slides.html

kyzyl on Nov 23, 2013 [–]

Yes, I almost exclusively use pytables+HDF5 when I'm permitted. As I commented on some thread earlier this week, it strikes a great balance between simplicity, performance and flexibility.

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