Polars is a blazingly fast DataFrame library built in Rust and designed for performance. It features a powerful expression-based API, lazy evaluation with automatic query optimization, parallel execution, and seamless integration with the Apache Arrow ecosystem. This cheat sheet covers everything from basic operations to advanced optimization techniques, including streaming for large datasets and interoperability with pandas and Arrow.