This is something to keep in mind when you start using Python. To get a true matrix multiplication, you need to use the dot() function. If you have two matrices, A and B, you can multiply them with ...

so they aren’t constrained by Python’s limitations. NumPy provides a specialized array type that is optimized to work with machine-native numerical types such as integers or floats.

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 ...