One important thing to know about lists in Python is that they aren’t “arrays.” Other languages, like C, have one-dimensional or multidimensional constructions called arrays that accept ...

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.

NumPy arrays require far less storage area than other Python lists, and they are faster and more convenient to use, making it a great option to increase the performance of Machine Learning models ...