so that Cython knows how to interpret the argument as a NumPy array (fast) rather than a generic Python object (slow). Here’s an example of a Cython function declaration that takes in a two ...

NumPy is one of the most common Python tools developers and data scientists use for assistance with computing at scale. It provides libraries and techniques for working with arrays and matrices ...

However, before we clap ourselves on the back and move on, can we go even faster? Let's change our script a bit and replace the Python list with a NumPy array: import numpy as np list = ...

Gommers added, "Really long-term I expect the NumPy 'execution engine' (i.e., the C and Python code that does the heavy lifting for fast array operations) to become less and less relevant ...