polars - Fast in-memory DataFrame library based on Apache Arrow
Provides data manipulation capabilities, lazy query optimization, file I/O operations, and pandas migration patterns using Polars.
Tags
Updated: 2026-09-22Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Query and manipulate tabular data
- Perform group aggregations
- Apply window functions
- Read and write data files
- Join and reshape DataFrames
- Migrate pandas code to Polars
Inputs
- Tabular datasets
- Data file paths
Outputs
- Transformed DataFrames
- Exported data files
Requirements
- Python environment
- polars package