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SUMMARY:[BoF Room 103] PyArrow in pandas and Dask - Matt Harrison\, James 
 Bourbeau\, Patrick Hoefler
DTSTART;TZID=America/Chicago:20230713T131500
DTEND;TZID=America/Chicago:20230713T141000
DTSTAMP:20261015T204832Z
UID:pretalx-2023-SZP3LA@cfp.scipy.org
DESCRIPTION:DataFrame libraries in general\, pandas and Dask specifically
 \, are moving towards a better integration with PyArrow. This has many ben
 efits\, like improved performance and a reduced memory footprint. We want 
 to connect with users to discuss how PyArrow can improve DataFrame librari
 es and what they expect out of PyArrow support. This can include things li
 ke improved performance\, more consistent behavior or better interoperabil
 ity with other libraries.
LOCATION:Classroom 103
URL:https://cfp.scipy.org/2023/talk/SZP3LA/
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