Monte_Carlo_Simulation.py

import random

def Monte_Carlo(iterations, variables, weights, grade):
    final_results=[]
    for n in range(iterations):
        results=[]
        for i in range(len(variables)):
            value = weights[i] * (random.uniform(grade[i][0], grade[i][1]))
            results.append(value)
            
        final_results.append(sum(results))
    return final_results