On Wed, Sep 09, 2015 at 04:33:49PM -0400, Trent Nelson wrote:
PyObjects, loads a huge NumPy array, and has a WSS of ~11GB.
[...]
I've done a couple of consultancy projects now that were very data science oriented (with huge data sets), so I really gained an appreciation for how common the situation you describe is. It is probably the best demonstration of PyParallel's strengths.
This problem is also common in well-heeled financial services places, many of which are non-Windows. There might be some good opportunities there.
Trent.
Martin
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