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SUMMARY:A deep dive into the Arrow Columnar format with pyarrow and nanoar
 row - Joris Van den Bossche\, Raúl Cumplido Domínguez\, Alenka Frim
DTSTART;TZID=Europe/Berlin:20240424T130000
DTEND;TZID=Europe/Berlin:20240424T143000
DTSTAMP:20260811T045528Z
UID:pretalx-pyconde-pydata-2024-LERYUY@pretalx.com
DESCRIPTION:Apache Arrow has become a de-facto standard for efficient in-m
 emory columnar data representation. You might have heard about Arrow or us
 ing Arrow\, but do you understand the format and why it’s so useful? Thi
 s tutorial will dive deep into the details of the Arrow columnar format\, 
 the different types and buffer layouts\, and explore those details interac
 tively using the pyarrow and nanoarrow libraries.
LOCATION:A03-A04
URL:https://pretalx.com/pyconde-pydata-2024/talk/LERYUY/
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