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Yeah, also in Pandas you can do stuff that otherwise requires writing a custom reducer or UDAF in which case you aren't using SQL anyway.

I just use SQL to grab and if necessary aggregate the data and then do everything else in Pandas - using Python custom reducers to deployed trained models although we are migrating to GCP now so soon that won't be necessary.



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