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UID:pretalx-pydata-london-2026-HPJR9B@pretalx.com
DTSTART;TZID=GMT:20260607T144500
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DESCRIPTION:Polars is a dataframe library which has taken the world by stor
 m over the last 4-5 years. Because people love benchmarks\, people often c
 ompare it with SQL-like engines such as DuckDB\, PySpark\, Daft\, and othe
 rs. But what if\, instead of comparing performance\, we compared semantics
 ?\n\nThis talk will make no mention whatsoever of performance differences.
  Instead\, it will focus entirely on the semantic differences - which don'
 t get nearly enough attention - of Polars vs SQL. Attendees will leave wit
 h a heightened appreciation for the differences between the Polars and SQL
  models\, and an understanding of the consequences this has on their code.
DTSTAMP:20260602T223328Z
LOCATION:Doddington Forum
SUMMARY:The Polars vs SQL differences nobody is talking about - Marco Gorel
 li
URL:https://pretalx.com/pydata-london-2026/talk/HPJR9B/
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