Software Development
Polars
Polars is a high‑performance DataFrame library written in Rust and exposed to Python, built on Apache Arrow with lazy evaluation and a streaming engine for data larger than memory. It enables users to replace pandas for faster CSV or Parquet processing, write expressive expressions, perform group_by, join, and window queries, and handle datasets that exceed available RAM. The skill benefits data scientists and analysts who require efficient, scalable data manipulation in Python.
- Publisher / source
- TerminalSkills Library
- Upstream record
- TerminalSkills/skills
- Version
- Version 2
- Published
- Publication review
- Approved for publication
- Content fingerprint
293b43f966d44c079241a9382e04278881eaf653c21acb7a317cfdeddbc28284