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UID:pretalx-pycon-lt-2023-RKXRHP@pretalx.com
DTSTART;TZID=EET:20230518T150000
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DESCRIPTION:DataFrame abstractions are one of the favorite data structures 
 of many data scientists\, data-engineers and programmers in general. They 
 offer flexibility and intuitive reasoning on top of query processing.\n\nH
 owever\, the implementation of DataFrame abstractions have been lacking. O
 n the single node they have been ignoring most research available in RDBMS
  research. Different from RDBMS\, the most known python implementations do
 n't control their own query engines\, and are therefore always compromisin
 g control\, performance and memory usage.\n\nPolars is a DataFrame library
  that brings a very fast OLAP query engine to the DataFrame abstraction. \
 n\nThis talk we look at what polars has achieved since it's inception and 
 what the future will hold in store.\n\n<some extra characters because they
  were needed to fill the cell>
DTSTAMP:20260520T010812Z
LOCATION:Saphire B - PyData
SUMMARY:Polars: done the fast\, now the scale - Ritchie Vink
URL:https://pretalx.com/pycon-lt-2023/talk/RKXRHP/
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