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SUMMARY:Uncle Data session 3 - Marc Garcia\, Ritchie Vink\, Uncle Data
DTSTART;TZID=Europe/Vilnius:20230518T140000
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DTSTAMP:20260819T143610Z
UID:pretalx-pycon-lt-2023-9DMMRE@pretalx.com
DESCRIPTION:Uncle Data session 3
LOCATION:Malachite A
URL:https://pretalx.com/pycon-lt-2023/talk/9DMMRE/
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SUMMARY:Polars: done the fast\, now the scale - Ritchie Vink
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DTSTAMP:20260819T143610Z
UID:pretalx-pycon-lt-2023-RKXRHP@pretalx.com
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\n
 However\, the implementation of DataFrame abstractions have been lacking. 
 On the single node they have been ignoring most research available in RDBM
 S research. Different from RDBMS\, the most known python implementations d
 on't control their own query engines\, and are therefore always compromisi
 ng control\, performance and memory usage.\n\nPolars is a DataFrame librar
 y 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 the
 y were needed to fill the cell>
LOCATION:Saphire B - PyData
URL:https://pretalx.com/pycon-lt-2023/talk/RKXRHP/
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