Bodo is an open-source, high-performance compute engine for Python data processing that simplifies scaling Python workloads without major code changes. It uses an innovative auto-parallelizing just-in-time (JIT) compiler to deliver very high parallel performance to the whole workflow. Bodo's new `@bodo.wrap_python` decorator makes it easy to run libraries in parallel while using Bodo, allowing users to keep using their favorite Python libraries in parallel without extra code changes. This feature is similar to Numba's objmode but has a simpler function interface and can be significantly faster. It is available in Bodo pip and Conda releases starting from 2024.12.3 and can provide a 5x speedup on local M1 Mac with a sample dataset, scaling to any cluster and data size as well.