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Often sophisticated output reports that support the decision-making process would require data to be filtered and aggregated. While SQL provides its set of relational operators

Often sophisticated output reports that support the decision-making process would require data to be filtered and aggregated. While SQL provides its set of relational operators and groupby clause, Python/DataFrame also provides its own groupby method to aggregate the data and many other methods for data processing and cleaning.

Do you think SQL groupby clause and Python/DataFrame groupby methods are the same or would you prefer to select one over the other in certain scenarios?

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