Polars lightning-fast DataFrame library reference. Rust-powered, 10-100x faster than Pandas. Covers expressions, lazy evaluation with query optimization, window functions, string/date operations, group-by, joins, SQL interface, and streaming for large data.
Scanned 9/7/2026
Install to Claude Code
Skills Directorynpx -y skills add bytesagain/ai-skills --skill polars --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Polars?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/bytesagain-polars)More formats (shields.io, HTML) on the badges page.
---
name: polars
version: 1.0.0
description: >
Polars lightning-fast DataFrame library reference. Rust-powered,
10-100x faster than Pandas. Covers expressions, lazy evaluation
with query optimization, window functions, string/date operations,
group-by, joins, SQL interface, and streaming for large data.
author: BytesAgain
homepage: https://bytesagain.com
source: https://github.com/bytesagain/ai-skills
tags: [polars, dataframe, python, rust, analytics, data, arrow]
---
# Polars Reference
Lightning-fast DataFrame library.
## Commands
| Command | Description |
|---------|-------------|
| `intro` | Overview, Pandas comparison |
| `basics` | Create, filter, group, join |
| `advanced` | Lazy eval, windows, SQL, streaming |
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
