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.

With such a rapidly growing user base and wide array of capabilities, Python might seem destined to become the lingua franca of coding, rendering all other competitors obsolete.