if u can plz use jupyter notebook to write this python code.

that's the example code

Task III: This task involves the numerical solution of an initial-value problem using the built-in function "odeint' as well as the visualization of solution dynamics using slope fields. Newton's law of cooling states: The time rate of change of the temperature of an object is proportional to the difference between the temperature of the object at time t and the temperature of the surrounding. This gives the initial-value problem dy -k(y - Ro), y(0) = y; (1) dt where y(t) temp. at time t, yo initial temp., RO surrounding temp., and k = proportionality constant Assume k = 0.5, Ro = 50F and yo = 180F. - Use Python's built-in ODE solver 'odeint' to solve Eq. (1) with the given data. - Plot the slope field and solution to Eq. (1) with the given data in a single plot. Be sure to label axes and give the plot a title. Question: What happens to the solution of Eq. (1) as t + if (i) yo > Ro, (ii) yo = Ro, and (iii) Yo