CODE IN PYTHONE PLEASE

#All packages needed import numpy as np import scipy.special as spsp import scipy.stats as spspt import matplotlib.pyplot as plt $matplotlib inline It is suggested that one of the algorithms to generate y~ Unif(a, b) is to do the following: Generate a random number x Convert this random number x to a sample y using (b - a)y + a QUESTION 1: Construct a function with a, b, and N as the arguments. This function should return an array of N number of random samples y based on the algorithm listed. Run this function with a = 5, b= 10, and N = 1000 and visualize the distribution of the samples. In the same plot, plot the targeted theoretical distribution. Based on the plot, comment on whether this algorithm seems to be correct