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Rolling operations / window functions are common when processing real-world datasets to answer questions like "What's the rolling average transaction volume per entity?". In particular, the combination of groupby and rolling windows is particularly valuable.
cuDF has extensive support for rolling/window functions, but they're not yet available in the Polars engine.
Rolling operations / window functions are common when processing real-world datasets to answer questions like "What's the rolling average transaction volume per entity?". In particular, the combination of groupby and rolling windows is particularly valuable.
cuDF has extensive support for rolling/window functions, but they're not yet available in the Polars engine.
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