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.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes. If you want, for instance, ...