How does NumPy handle garbage collection and memory reuse?

NumPy relies on Python's GC but optimizes memory reuse through buffer management.

NumPy objects are Python objects but underlying buffers are managed in C. Memory reuse occurs via reference counting and buffer sharing in views, reducing allocations and improving performance.