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Couldn't render the SKILL.md content here right now. You can view the raw markdown or open the source folder on GitHub.
Backend Developmentsickn33
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.
- Stars
- 39,227
- Source
- sickn33/antigravity-awesome-skills
- Updated
- 2026-05-30
- Slug
- sickn33--antigravity-awesome-skills--polars
// install — copy + paste into any project
mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/HEAD/plugins/antigravity-awesome-skills-claude/skills/polars/SKILL.md -o .claude/skills/polars.mdDrops the SKILL.md into .claude/skills/polars.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.