High-performance open-source data processing library for fast handling of large tabular data.
Polars is a high-performance open-source data processing library supporting Python, Rust and other languages, suited to large tabular data, CSV, Parquet and data cleaning tasks. It can serve as a high-performance complement to pandas for research data preprocessing and batch analysis.
Use cases: large table processing, data cleaning, CSV/Parquet, Python data analysis, high-performance computing
Note: Polars syntax is not identical to pandas and takes some learning.
