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 ...

Map is a common way to transform lists in most programming languages. In Python, map is a function that loops over a list and applies a function (that you provide) to each item. Your function receives ...

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 ...