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Thu Sep 10 18:38:42 CEST 2015 · https://mail.python.org/pipermail/python-dev/2015-September/141560.html

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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[Python-Dev] Yet another "A better story for multi-core Python" comment