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This is, what, the fourth? Attempt to port dplyr to Python? Unclear why this one will be any more successful than the others

Hey, creator of siuba here. I think siuba's big advantage is that it can generate SQL code.

The architecture necessary to pull off executing either pandas or SQL also makes it very extensible (e.g. to spark or dask in the future :).

This one looks much, much better than the others, as a long-time user of dplyr who's now a refugee in the Python universe.