python 3 code

Activity #2: Taking limits to compute derivatives - To be done as a team In an earlier lab, we observed how we could have a function that is undefined at some value (such as (sin x)/x at the point x=0), but could come arbitrarily close to it by successively evaluating smaller and smaller numbers (i.e. taking a limit). For example, we might evaluate at x=0.1, x=0.01, x=0.001, etc. until we have come very close to the value. Taking limits like this, numerically, is commonly done when functions are too complicated to evaluate analytically. You will write a program to compute a derivative as a numerical limit. This activity has a three parts. Please name the files as stated above under the Deliverables section. You may reuse code from activity #1 if it is helpful. a) Evaluating a polynomial limit analytically You should have learned by now the process for finding the derivative of a polynomial (as another polynomial). Write a program that will read in from the user a cubic polynomial f(x) (as a set of 4 coefficients), and use this to compute the derivative polynomial (i.e. compute the three coefficients of the derivative f'(x)). Then, read in a value for x from a user, and evaluate the derivative polynomial at that x. Print out that value with appropriate labels. b) Evaluating a polynomial derivative numerically For a function f(x), the derivative of the function at a value x can be found by evaluating and finding the limit as a gets closer and closer to 0. Using the same polynomial as the user entered in part (a), and for the same value of x as entered in part (a), compute the limit numerically. That is, start with an estimate by evaluating using a value for a such as 0.1. Then, repeatedly halve the value of a until the difference between successive evaluations of(x+)- is less than some small value, such as 10%. Print the result, along with the number Based upon Dr.Keyser's Original Revised Summer 2019 TLF of evaluations it took. Calculate how close that result is to the actual answer, computed in part (a). Repeat the above activity by evaluating the limits of the following expressions: 442744 or 16-a). Try computing each of those, and calculate how many iterations you need to converge to the limit. Do you get different results with any of them, or does any of them take fewer steps to get an answer? (Put your answer as a comment in your code.) 2a c) Evaluating a more complex function. Use the following functions to compute numerical derivatives at the given value of x: 1. f(x) = In(x + 2), at x = -1.5 2. f(x) = In(x + 2), at x = 2.0 3. f(x) = 3. e-(2-(x-1) ), at x = 1.0 4. f(x) = {1 - cos(9), at x = 3.0 For each function, using the same process as in part (b), calculate the derivative of that function at some value. Write a line of output describing each function, and stating what the computed derivative for it is, along with the number of steps needed to compute the derivative