Polars

---
name: polars
description: High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
license: https://github.com/pola-rs/polars/blob/main/LICENSE
allowed-tools: Read
compatibility: Requires Python 3.10+ for polars 1.41.x. Install with uv pip install; optional extras enable Excel, database, cloud, pandas/NumPy, and GPU integrations.
metadata: {"version": "1.1", "skill-author": "K-Dense Inc."}
---

# Polars

## Overview

Polars is a lightning-fast DataFrame library for Python and Rust built on Apache Arrow. Work with Polars' expression-based API, lazy evaluation framework, and high-performance data manipulation capabilities for efficient data processing, pandas migration, and data pipeline optimization.

## Quick Start

### Installation and Basic Usage

Install the current stable Polars release verified during this refresh:
```bash
uv pip install "polars==1.41.2"
```

Install optional integrations only when needed:… load the full skill through Skill Me