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SUMMARY:Advanced Dask Tutorial - Naty Clementi\, James Bourbeau\, Julia Si
 gnell\, Charles Blackmon-Luca
DTSTART;TZID=America/Chicago:20230711T133000
DTEND;TZID=America/Chicago:20230711T173000
DTSTAMP:20261015T194957Z
UID:pretalx-2023-MQQJKG@cfp.scipy.org
DESCRIPTION:Dask is a Python library for scaling and parallelizing Python 
 code. It provides familiar\, high-level interfaces to extend the SciPy eco
 system to larger-than-memory or distributed environments\, as well as lowe
 r-level interfaces for parallelizing custom algorithms. In this tutorial\,
  we’ll cover advanced features of Dask like applying custom operations t
 o Dask DataFrames and arrays\, debugging computations\, diagnosing perform
 ance issues\, and more. Attendees should walk away with a deeper understan
 ding of Dask’s internals\, an introduction to more advanced features\, a
 nd ideas of how they can apply these features effectively to their own wor
 kloads.
LOCATION:Classroom 106
URL:https://cfp.scipy.org/2023/talk/MQQJKG/
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