What is NumPy memory buffer sharing and how does it work?

Multiple arrays can share the same underlying memory buffer via views.

NumPy allows multiple ndarray objects to point to the same memory buffer. This is achieved via view semantics where only metadata changes while data remains shared. This is critical for performance but introduces risks of unintended side effects when modifying shared arrays.