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PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

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This dataset is a Time series stock prediction on Google. This dataset can be found in Kaggle, this dataset was created by me. The link to the kaggle is :-...

For most pandas functions, I expected numpy to outperform regardless of data size. I'm curious about the technical details behind this observation. Any information would be appreciated. Thanks!