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.

Another way to use Python in a performant way with NumPy arrays is to use Numba, a JIT compiler for Python. Numba translates Python-interpreted code into machine-native code, with specializations ...