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 differ from a normal Python list because of their ability to broadcast. This is the ability to write a range of values to the array ... Warning. When using array slicing and broadcasting ...

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 ...