sk Skill · beita6969
polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
Open on skills.sh ↗read 2026-09-17
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- beita6969/ScienceClaw
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- https://github.com/pola-rs/polars/blob/main/LICENSE
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