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.

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, the Python package for scientific computing, ... NumPy has moved beyond its original scope of functions on multidimensional arrays. It has over time acquired aspects of infrastructure.