By drawing on C libraries for the heavy lifting, NumPy offers faster array processing than native Python. It also stores numerical data more efficiently than Python’s built-in data structures.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes. If you want, for instance, ...