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Episode #207: Parallelizing computation with Dask

Published Sun, Apr 14, 2019, recorded Wed, Feb 20, 2019.

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What if you could write standard numpy and pandas code but have it run on a distributed computing grid for incredible parallel processing right from Python? How about just splitting it across multiprocessing to escape the limitations of the GIL on your local machine? That's what Dask was built to do.

On this episode, you'll meet Matthew Rocklin to talk about its origins, use-cases, and a whole bunch of other interesting topics.

Links from the show

Matthew on Twitter: @mrocklin
Matthew's website:
Dask examples:
PyCon presentation:
PyCon presentation slides:

Matthew Rocklin
Matthew Rocklin
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