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Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.
Noticed this when rewriting a pandas workflow to polars that DataFrame creation was about 20x slower in polars (~4sec) compared to pandas (~0.2sec) I am creating a DataFrame using a python generator ...
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