lab06November 26, 20201Lab 6: RandomizationWelcome to Lab 1 of Data 8.2x!We will go overiteration and simulations, as well as introduce the concept ofrandomness.First, set up the tests and imports by running the cell below.[1]:importnumpyasnpfromdatascienceimport*importottergrader=otter.Notebook()1.11. Nachos and ConditionalsIn Python, Boolean values can either beTrueorFalse.We get Boolean values when usingcomparison operators such as<(less than),>(greater than), and==(equal to). A list of commoncomparison operators can be found below![2]:3 > 1 + 1[2]:TrueWe can even assign the result of a comparison operation to a variable.[3]:result= 10 / 2 == 5result[3]:TrueArrays are compatible with comparison operators. The output is an array of boolean values.[4]:make_array(1,5,7,8,3,-1)> 3[4]:array([False,True,True,True, False, False])Waiting on the dining table just for you is a hot bowl of nachos! Let’s say that whenever you takea nacho, it will have cheese, salsa, both, or neither (just a plain tortilla chip).1