blackjack

A simple Python simulation for blackjack, allowing you to test different strategies by creating a new player and defining their strategy.

A new player is created by subclassing the Player class and then implementing the abstract should_hit method:

@abstractmethod
def should_hit(self):
    pass

For example:

class BasicPlayer(Player):

    def should_hit(self):
        return self.hand.score() <= 10

To run it, simply add new players to simulation.py:

game = games.Game()
game.add_player(players.BasicPlayer('Basic Player 1'))
game.add_player(players.SmartPlayer('Smart Player 1'))

And then run the simulation:

python simulations.py

Output is currently:

Basic Player 1: 4167 wins, 4846 losses, 987 draws, 0.46 win rate, 0.54 loss rate, 0.10 draw rate
Smart Player 1: 4173 wins, 5168 losses, 659 draws, 0.45 win rate, 0.55 loss rate, 0.07 draw rate