How does NumPy handle advanced indexing vs basic slicing internally?

Basic slicing returns views, while advanced indexing returns copies due to non-contiguous memory access.

Basic slicing modifies stride metadata, enabling zero-copy views. Advanced indexing (fancy indexing) uses arrays or boolean masks, which require gathering scattered memory locations into a new contiguous buffer. This breaks view semantics and forces allocation of new memory.