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Better Together: Unleashing the Synergy of Pandas, Polars, and Apache Arrow
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sfpy
--show
pybay23
--room bungalo_west 15327 --force
Next: 10 Scale Data Science by Pandas API on Spark
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Marks
Author(s):
Chris Brousseau
Location
Bungalo West
Date
oct Sun 08
Days Raw Files
Start
16:45
First Raw Start
16:25
Duration
00:15:00
Offset
0:19:11
End
17:00
Last Raw End
17:25
Chapters
00:00
0:08:48
0:08:49
0:08:50
0:08:52
0:12:12
Total cuts_time
15 min.
https://pybay.com/speakers/#sz-speaker-438b7844-5b59-44f8-89f8-d8b3b8d270a0
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Supercharge your data engineering workflows by merging the robustness of Pandas with the high-speed capabilities of Polars, all underpinned by Apache Arrow's in-memory technology. This technical deep-dive will unravel the nuances between Pandas and Polars, showcase their newest features, and demonstrate how to integrate them for optimal performance. Learn actionable techniques to make your data pipelines faster, more efficient, and ready for scale. Join us to see how you might elevate your data engineering toolkit!
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production notes
2023-10-08/16_25_49.ts
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