Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

To keep things simple, let’s start with just two lines of Python code to import the NumPy package for basic scientific computing and create an array of four numbers. The Python code looks like ...

import numpy as np np.array ... How NumPy speeds array math in Python. A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.