Individual skill
polars
High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
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# Polars
## Overview
Polars is a columnar DataFrame library for Python and Rust with Arrow interoperability. 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.
Reviewed against the official stable documentation and native Polars 1.44.2. Local
regression tests cover the corrected APIs and scientific failure cases; cloud, GPU,
BigQuery, and remote database recipes are illustrative and require provider setup.
Fragments using undefined columns, paths, or `...` require adaptation to the dataset.
## Quick Start
### Installation and Basic Usage