Agens polars

skill_id: polars 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. version: 1.0.0 author: K-Dense Inc. license: https://github.com/pola-rs/polars/blob/main/LICENSE tags:

• scientific-agent-skills
• polars tools: [] permissions: network: false filesystem: false shell: false agents:
• executor_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: polars upstream_path: scientific-skills/polars/SKILL.md upstream_frontmatter: 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.