As noted above, NumPy arrays behave a lot like other Python objects, for the sake of convenience. For instance, they can be indexed like lists; arr[0] accesses the first element of a NumPy array.

Let's demystify the concept of the "invisible line." Consider how we generate data in Python, for example: list = [1] * 1_000_000. Python stores the data in its appropriate data representation and ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with ...

NumPy, the Python package for scientific computing, ... Gommers and others are attempting to bring some standardization across the Python landscape for how arrays are handled between these various ...