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. But what ...

so it’s tempting to use common Python metaphors for working with them. If we wanted to create a NumPy array with the numbers 0-1000, we could in theory do this: x = np.array([_ for _ in range ...