Bodo is an open-source, high-performance compute engine that simplifies scaling Python workloads from laptop to cluster without major code changes. It uses innovative auto-parallelizing just-in-time (JIT) compiler technology and relies on MPI-based high-performance computing (HPC) technology to make it both easier to use and often orders of magnitude faster than tools like Spark or Dask. PyIceberg is an open-source Python library that provides helpful functions to manipulate Iceberg databases, including creating and deleting Iceberg tables, reading and writing to Iceberg tables with data libraries and compute engines such as Pandas, DuckDB, Polars, Ray, and so on. By integrating PyIceberg into Bodo, developers can now leverage Apache Iceberg without Java overhead, making it easier to scale from local development to full-cluster execution without switching tools or rewriting code.