I am using a version of jupyter notebook

-ax' where a = 1.2 over the range x = (0,4). Plot f(x), the numerically Use the scipy.misc.derivative function to perform the derivative of f(x) = calculated f'(x), and the actual f'(x) on the same plot. Tip: When using numpy.linspace to set up the x axis points, where f'(x) will be calculated, use the retstep=True option. This will return the step size of the x-axis array, which is needed in scipy.misc. derivative