Polars is a fast, in-memory dataframe library written in Rust. It leverages Apache Arrow as its memory model, which allows for efficient data storage and processing. It's commonly used for data analysis, data manipulation, and ETL (Extract, Transform, Load) tasks, providing significantly improved performance compared to pandas for many operations, especially on large datasets due to its parallel processing capabilities.
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