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.

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 ...

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 ...