We’ll review the state of the art in the data science world for common number-crunching tasks on small to big data. Topics we’ll cover include profiling, compilation and data manipulation. We’ll also review the near future for Python, Numba, Pandas, Dask and Polars and I’ll help you make some pragmatic choices about tools you might invest time in. We’ll have plenty of time to discuss your use cases and problems you might have encountered.