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 ...

Unlike a list in say Python, however, Java arrays are of a fixed size. There is no way to remove elements or to add to the array at run time.