How does Pandas optimize aggregation using C-level reductions?

Aggregations like sum and mean are executed in optimized C loops.

Pandas bypasses Python loops and uses compiled C routines for aggregations. This significantly improves performance by reducing interpreter overhead and enabling SIMD-style optimizations in some operations.