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UID:pretalx-europython-2026-UGLF7Q@programme.europython.eu
DTSTART;TZID=CET:20260717T135500
DTEND;TZID=CET:20260717T142500
DESCRIPTION:*but were too afraid to ask!\n\n`pandas`\, the data wrangling w
 orkhorse\, will celebrate its *18th year of existence* in 2026. You rely o
 n it daily\, but are you truly confident in your code?\n\nThis session is 
 dedicated to the unwritten rules and hidden mechanics that separate a conf
 ident user from one who constantly battles warnings and unexpected outputs
 . We will confront the infamous `SettingWithCopyWarning` that haunts chain
 ed operations\, clarify the critical differences in *deep vs. shallow copi
 es* and the true cost of using `inplace=True`. We’ll also demystify the 
 complex handling of missing data (`NaN`s) and much more!\n\nCrucially\, we
  will look to the future. `pandas` is engaged in a `DataFrame` library rac
 e with newer\, high-performance libraries like `polars` and `duckdb`. The 
 latest advancements—`pandas` 2.0 and the new and shiny 3.0\, with featur
 es like *Copy-on-Write* and *Apache Arrow* integration—are the direct re
 sponse\, promising a future of dramatically improved speed\, memory effici
 ency\, and data types.\n\nJoin me to master the crucial concepts of the pa
 st and prepare for the performance gains and new behaviors of the future\,
  ensuring your skills stay ahead of the curve. Stop guessing and start mas
 tering `pandas`!
DTSTAMP:20260524T121556Z
LOCATION:Conference Hall Complex (S4)
SUMMARY:Everything you always wanted to know about pandas* - Francesco Luca
 ntoni
URL:https://programme.europython.eu/europython-2026/talk/UGLF7Q/
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