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UID:pretalx-2025-W8VJX3@cfp.in.pycon.org
DTSTART;TZID=IST:20250913T162000
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DESCRIPTION:Traditional Pandas workflows have long been the go-to for Pytho
 n data analysis\, but as datasets grow larger and queries more complex\, p
 erformance bottlenecks can hold you back.\n\nIn this talk\, you'll learn h
 ow DuckDB (it's like SQLite for analysis) is replacing Pandas. It's faster
 \, runs on multiple cores\, takes less memory\, handles more data\, runs o
 n multiple languages\, even runs in the browser\, connects to far more dat
 a sources\, and uses SQL which is more popular than Pandas.\n\nThrough liv
 e coding examples\, you'll see real-world scenarios where DuckDB not only 
 complements but in many cases outperforms Pandas. Plus\, you don't have to
  learn DuckDB since LLMs will write most of your code for you.
DTSTAMP:20260317T125132Z
LOCATION:Track 1
SUMMARY:DuckDB is the New Pandas - Anand S
URL:https://cfp.in.pycon.org/2025/talk/W8VJX3/
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