Polars Blazing-Fast DataFrame 查询引擎

Polars is an extremely fast DataFrame library written in Rust with Python, Node.js, and R bindings. This skill enables agents to leverage Polars for high-performance data manipulation, transformation, and analytical queries on structured datasets.

Installation

Use the upstream install or setup path that matches your environment:

• pip install polars
• for Python users, install pip install polars[rt64].
• Python on Apple Silicon under Rosetta? Install pip install polars[rtcompat]. This version of

Requirements and caveats from upstream:

• <a href="https://docs.pola.rs/api/python/stable/reference/index.html">Python</a>
• <a href="https://pola-rs.github.io/nodejs-polars/index.html">Node.js</a>
• <a href="https://stackoverflow.com/questions/tagged/python-polars">Python</a>

Basic usage or getting-started notes:

• collect(engine='streaming') to run the query streaming.

• sh

• See the User Guide for more details

• Source: https://github.com/1991513ccie-png/skills

• Extracted from upstream docs: https://raw.githubusercontent.com/pola-rs/polars/HEAD/README.md