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.

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.

In Python, arrays map directly to lists. Tables in TOML. A table is a collection of key-value pairs in a TOML file, labeled with a header in square brackets.