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Polars outperforms Pandas on large datasets through parallel and lazy execution, plus Apache Arrow columnar storage. Pandas remains ideal for small datasets, teaching, and exploratory work. The libraries complement each other: analysts use Pandas, production pipelines increasingly use Polars.
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