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.

NumPy arrays have many of the behaviors of conventional Python objects, so it’s tempting to use common Python metaphors for working with them. If we wanted to create a NumPy array with the ...

The Python array is designed to emulate the behavior of an array in C, and it’s meant chiefly to allow Python to work with C arrays. The array type is useful in those cases, but in almost every ...