Agent Skills: 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.

UncategorizedID: k-dense-ai/claude-scientific-skills/polars

Author

k-dense-ai

https://github.com/k-dense-ai View all skills

Repository

k-dense-ai/claude-scientific-skills

K-Dense-AILicense: MIT

16,1681,773

Install this agent skill to your local

pnpm dlx add-skill https://github.com/k-dense-ai/claude-scientific-skills/polars

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