NumPy gives Python users a wickedly fast library ... We don’t allow arbitrary access to some part of the array, for example, by way of a user-submitted variable, so there’s no risk of going ...

A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python ... NumPy arrays. One is via a typed memoryview, a Cython construct for fast and bounds-safe access ...

Also: Python programming language: Here's what's new in version 3.9 RC2 Each of the AI frameworks such as TensorFlow and PyTorch have come up with different ways to do arrays, in part out of a ...