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Distributed Python with Dask
--client
big_apple_py
--show
pygotham_2016
--room Room_CR4 11133 --force
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Marks
Author(s):
Matthew Rocklin
Location
Room CR4
Date
jul Sun 17
Days Raw Files
Start
16:30
First Raw Start
16:26
Duration
00:55:00
Offset
0:03:18
End
17:25
Last Raw End
17:26
Chapters
00:00
0:25:33
Total cuts_time
53 min.
https://2016.pygotham.org/talks/366/distributed-python-with-dask
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Dask is a Python library for parallel and distributed computing. It was built with the needs of the numeric Python ecosystem in mind, emphasizing common interfaces (NumPy, Pandas, Toolz) and full flexibly in supporting custom analytic workloads and complex algorithms. This talk describes the motivations behind creating Dask, gives interactive examples of its use, talks about how it is used in practice, and compares its capabilities against other parallel computing frameworks.
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production notes
2016-07-17/16_26_42.ts
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seconds: 266.0
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seconds: 266.0
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