polars

Name: polars
Author: K-Dense-AI

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.

polars

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---
name: polars
description: 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.
license: https://github.com/pola-rs/polars/blob/main/LICENSE
metadata:
    skill-author: K-Dense Inc.
---

# Polars

## Overview

Polars is a lightning-fast DataFrame library fo

How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/polars.md \
  https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/polars/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/K-Dense-AI/claude-scientific-skills

Then reference at scientific-skills/polars/SKILL.md