The Python library Pandas is widely used for cleaning, transforming, manipulating, and analyzing data, but it struggles with heavy computations or large datasets due to its default single CPU core usage. Bodo is an innovative solution designed to accelerate Python analytics code by automatically optimizing and parallelizing computation across multiple CPU cores, reducing the need for supercomputing knowledge. With minimal code changes, Bodo can boost Pandas' performance on big data and intensive computation jobs, offering exceptional acceleration and a smooth learning curve. Various examples demonstrate how Bodo solves Pandas' challenges in data loading, grouping, filtering, and user-defined functions, achieving significant performance improvements over Pandas alone.