Using Python 3, implement newton's method.

Newton's Method 5 points mplement the Newton's method on the following function f(z). You should start your iterations with an initial guess xe, and stop your iterations when the function is zero within a tolerance of r, i.e. where Store your r values (obtained in every iteration) in the array X. Note that the first value in x should be xe INPUT xe : Initial guess for the solution r: Absolute tolerance for finding the zero. . OUTPUT zero your approximation to the zero of the function x: array of z values obtained in each Newton-iteration Problem set-up code elick to This is the code that is used to set up the problem and produce test data for your submission. It is reproduced here for your information, or if you would like to run your submission outside of. You should not copy/paste this code into the code box below. This code is run automatically behind the scenes before your submitted code import numpy as np import numpy.linalg as la xe 25 r1e**(-13.) Newton's Method 5 points mplement the Newton's method on the following function f(z). You should start your iterations with an initial guess xe, and stop your iterations when the function is zero within a tolerance of r, i.e. where Store your r values (obtained in every iteration) in the array X. Note that the first value in x should be xe INPUT xe : Initial guess for the solution r: Absolute tolerance for finding the zero. . OUTPUT zero your approximation to the zero of the function x: array of z values obtained in each Newton-iteration Problem set-up code elick to This is the code that is used to set up the problem and produce test data for your submission. It is reproduced here for your information, or if you would like to run your submission outside of. You should not copy/paste this code into the code box below. This code is run automatically behind the scenes before your submitted code import numpy as np import numpy.linalg as la xe 25 r1e**(-13.)