Simulation for the Monty Hall problem in Python, packaged as Windows executable using dist-utils.

monty.py

import random

class Car: pass
class Sheep: pass

class MontyHall:
    cars = 0
    sheep = 0
    def __init__(self):
        carLocation = random.randint(0, 2)
        self.doors = range(3)
        for i in range(3):
            if i==carLocation: self.doors[i]=Car
            else: self.doors[i]=Sheep
    
    def reset(cls):
        cls.cars = 0
        cls.sheep = 0
    reset = classmethod(reset)
            
    def pick(self):
        self.picked = random.randint(0, 2)
        for i in range(3):
            if i==self.picked: continue
            if self.doors[i]==Car: continue
            self.opened=i
            break
    
    def change(self):
        for i in range(3):
            if i==self.picked: continue
            if i==self.opened: continue
            self.picked=i
            break
        
    def check(self):
        if self.doors[self.picked]==Car: MontyHall.cars += 1
        if self.doors[self.picked]==Sheep: MontyHall.sheep += 1
        
for i in range(100000):
    m = MontyHall()
    m.pick()
    m.check()
print "No change: Cars=%d; Sheep=%d" % (MontyHall.cars, MontyHall.sheep)

MontyHall.reset()

for i in range(100000):
    m = MontyHall()
    m.pick()
    m.change()
    m.check()
print "Change: Cars=%d; Sheep=%d" % (MontyHall.cars, MontyHall.sheep)

setup.py

#!/usr/bin/env python

from distutils.core import setup
import py2exe

setup(name="MontyHall",
      description="Monty Hall Problem",
      version="1.0",
      py_modules=["monty"],
      console=["monty.py"],
      windows=[]
      )