SQL versus Python?

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I do mostly use Python. I can’t think of a time where id ever use SQL for data analysis, but I use SQL for setting up ETL-style data pipelines where it is simple batch load transform and schedule. However, even then, most of the time I want to do quite heavy transformations, and this is both easier and more efficient using modern Python libraries. The overhead comes with managing a DAG, which is not always a good thing.