Bodo DataFrame is a new library that bundles advanced database optimizations and an MPI backend, providing a drop-in-replacement for Pandas. It aims to offer the ease of use of Pandas while delivering the speed and scalability of a distributed data warehouse. The library integrates DuckDB's optimizer for logical plan optimization and uses Bodo and BodoSQL's high-performance execution runtime. It covers the Pandas surface area, vectorized UDFs, and Iceberg integration, with rapid coverage expected in the future. This is an early experimental release, available via pip installation, and encourages users to try it out and provide feedback.