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SUMMARY:How Narwhals is silently bringing pandas\, Polars\, DuckDB\, PyArr
 ow\, and more together - Marco Gorelli
DTSTART;TZID=Europe/Berlin:20250425T105500
DTEND;TZID=Europe/Berlin:20250425T112500
DTSTAMP:20261011T090104Z
UID:pretalx-pyconde-pydata-2025-CPCNRZ@pretalx.com
DESCRIPTION:If you were writing a data science tool in 2015\, you'd have e
 nsured it supported pandas and then called it a day.\n\nBut it's not 2015 
 anymore\, we've fast-forwarded to 2025. If you write a tool which only sup
 ports pandas\, users will demand support for Polars\, PyArrow\, DuckDB\, a
 nd so many other libraries that you'll feel like giving up.\n\nLearn about
  how Narwhals allows you to write dataframe-agnostic tools which can suppo
 rt all of the above\, with zero dependencies\, low overhead\, static typin
 g\, and strong backwards-compatibility promises!
LOCATION:Zeiss Plenary (Spectrum)
URL:https://pretalx.com/pyconde-pydata-2025/talk/CPCNRZ/
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