How does Pandas optimize aggregation memory usage?

Pandas minimizes intermediate objects during aggregation using vectorized C operations.

Aggregation functions like sum, mean, and count are executed in optimized C loops, avoiding Python-level iteration. Grouped data is processed in chunks to reduce memory footprint.