The author, a hedge fund professional, praises the Pandas library for its efficiency in dealing with financial data. However, the emergence of the Polars library, written in Rust, caught their attention due to its impressive speed and performance. The author hesitates to switch from Pandas to Polars due to the significant effort required to refactor their existing code. Enter FireDucks, a new Pandas library launched by programmers with extensive experience in developing supercomputers. The author conducts benchmarks which show FireDucks to be on average 50x faster than Pandas, even outperforming Polars. The most surprising aspect is that FireDucks does not require any changes to existing Pandas code for significant speed improvements. The author concludes by emphasizing the importance of leveraging optimized libraries like FireDucks to enhance Python’s performance.
https://hwisnu.bearblog.dev/fireducks-pandas-but-100x-faster/