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 ...

However, before we clap ourselves on the back and move on, can we go even faster? Let's change our script a bit and replace the Python list with a NumPy array: import numpy as np list = ...

NumPy arrays, pandas data frames, and more! "A variables section will now be shown when running code and cells in the Python Interactive window. Once you expand it, you'll see the list of the ...