The Polars vs pandas difference nobody is talking about
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The post highlights the unique advantages of using Polars over pandas for group-by operations, particularly focusing on non-elementary group-by aggregations. While pandas struggles with efficiently performing complex group-by operations without resorting to Python lambda functions, Polars allows users to express these aggregations cleanly and efficiently. The author emphasizes the importance of API innovation and the potential limitations of strictly adhering to pandas' API design.
Table of contents
What's a group-by?Non-elementary group-bys in PolarsConclusion, and a plea to future dataframe authors1 Comment
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