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UID:pretalx-pydata-london-2026-YYTLFF@pretalx.com
DTSTART;TZID=GMT:20260606T153000
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DESCRIPTION:The Python data ecosystem is migrating from NumPy-based arrays 
 toward Apache Arrow. Polars is built entirely on Arrow\, and Pandas is hea
 ding in the same direction. Yet differences in string encoding\, missing v
 alues\, schemas\, and index metadata make interoperability between the two
  formats surprisingly costly and error-prone. This talk examines these cha
 llenges through a case study of how ArcticDB\, the open-source client-side
  dataframe database\, navigated this same migration.
DTSTAMP:20260602T212906Z
LOCATION:Grand Hall 2
SUMMARY:Bridging Pandas and Polars: The Hidden Costs of Dataframe Interoper
 ability - Ivo Dilov
URL:https://pretalx.com/pydata-london-2026/talk/YYTLFF/
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