This is a Python model for the Monty Hall problem. See comment below for credit.

monty_hall.py

import random
 
class MontyHall:
    def __init__(self):
        self._prize_door = random.randint(1,3)
        self._selected_door = random.randint(1,3)
        self._removed_door = self.remove_door()
 
    def remove_door(self):
        doors = [1,2,3]
        doors.remove(self._prize_door)
        if self._selected_door in doors:
            doors.remove(self._selected_door)
        return random.choice(doors)
 
    def switch_choice(self):
        self._selected_door = 6 - self._selected_door - self._removed_door
 
    def run(self, switch=True):
        if switch:
            self.switch_choice()
        return self._selected_door == self._prize_door
        
wins = 0
n = 1000
switch = False
for i in range(n):
    m = MontyHall()
    if m.run(switch=switch):
        wins += 1
 
odds = (wins / n) * 100

print('''- Switching: {}
- Simulations: {:,}
- Wins: {}
- Winning Percentage: {:.1f}%'''.format(switch, n, wins, odds))

This is a slightly modified version of Jason Hill's Monty Hall Problem model, of which I made a YouTube video.