What is the difference between contiguous and non-contiguous arrays in NumPy?

Contiguous arrays store data in a single continuous memory block, while non-contiguous arrays use strides.

A contiguous array ensures sequential memory layout which maximizes CPU cache efficiency. Non-contiguous arrays arise from operations like transpose or slicing with steps. These rely on stride metadata to map logical indices to physical memory locations, which can reduce performance in heavy computations.