The most common scenario for using Cython with NumPy is one where you want to take a NumPy array, iterate over it, and perform computations on each element that can’t be done readily in NumPy.

Consider how we generate data in Python, for example: list = [1] * 1_000_000. Python stores the data in its appropriate data representation and memory space. However, packages such as NumPy are ...