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Daily Dose of Data Science | Avi Chawla | Substack

FireDucks is an optimized alternative to Pandas with the same API, requiring just an import replacement to use. It demonstrates a significant speed boost for big data operations, achieving an average speed-up of 125x over Pandas. FireDucks' lazy execution builds and optimizes a logical execution plan, unlike Pandas' immediate execution. It can be used with IPython, Jupyter Notebooks, or within existing Pandas pipelines by replacing import statements. Detailed benchmarks and usage examples are provided, showing substantial performance improvements in practical scenarios.

FireDucks vs. Pandas vs. DuckDB vs. Polars

P.S. For those wanting to develop “Industry ML” expertise: