x = np.array([_ for _ in range(1000)]) This works, but its performance is hidebound by the time it takes for Python to create a list, and for NumPy to convert that list into an array. By contrast ...

Python 'lists' are more flexible than arrays as they can contain different data types and their length can vary in size. It is often convenient to use a list where you do not know what the data ...