How does NumPy handle internal sorting algorithms for large arrays?

NumPy uses highly optimized sorting algorithms like quicksort, mergesort, and heapsort depending on the use case.

NumPy's sort operations are implemented in C and choose algorithms based on stability requirements and data type. Quicksort is fast but unstable, mergesort is stable but memory-heavy, and heapsort provides predictable performance. The selection can be controlled via the 'kind' parameter.