https://github.com/frgfm/poker-buddy

Poker assistant project
https://github.com/frgfm/poker-buddy

card deck game game-theory player poker statistics texas-holdem

Last synced: about 1 month ago
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Poker assistant project

• Host: GitHub
• URL: https://github.com/frgfm/poker-buddy
• Owner: frgfm
• License: mit
• Created: 2018-07-08T10:50:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-05T21:26:52.000Z (almost 6 years ago)
• Last Synced: 2024-12-05T17:48:28.433Z (2 months ago)
• Topics: card, deck, game, game-theory, player, poker, statistics, texas-holdem
• Language: Python
• Size: 6.84 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Poker buddy

This repository hold the different parts of a poker assistant projects. 

## Installation

This project was only developed using Python and numpy.

```

git clone https://github.com/frgfm/poker-buddy.git

cd poker-buddy

pip install requirements.txt

```

## Usage

If you prefer running the simulation directly without entering a shell:

```bash

python src/main.py

```

If you favor using objects in Python, you can use the classes and functions from the game.py file

```python

from game import Player, Game, get_hand_value, get_winners

players = [Player() for k in range(4)]

g = Game(players)

g.deal()

g.hit()

g.hit()

g.hit()

hands = []

for k in range(4):

    print('Player %s: %s' % (k, g.get_player_cards(k)))

    hands.append(get_hand_value(g.community_cards + g.players[k].cards))

    print(hands[-1])

print('Winner:', get_winners(hands))

```

Either way, it should simulate a game with an output similar to:

```bash

Dealing cards to players...

Flop: ['9 Diamonds', '6 Diamonds', 'Q Diamonds']

Turn: ['9 Diamonds', '6 Diamonds', 'Q Diamonds', '3 Diamonds']

River: ['9 Diamonds', '6 Diamonds', 'Q Diamonds', '3 Diamonds', '2 Clubs']

Player 0: ['4 Spades', '10 Diamonds']

{'royal flush': None, 'straight flush': None, 'fours': [], 'full house': None, 'flush': 'Diamonds', 'straight': [], 'threes': [], 'double pairs': [], 'pairs': [], 'high': 10}

Player 1: ['5 Spades', 'A Spades']

{'royal flush': None, 'straight flush': None, 'fours': [], 'full house': None, 'flush': [], 'straight': [], 'threes': [], 'double pairs': [], 'pairs': [], 'high': 12}

Player 2: ['K Diamonds', '9 Spades']

{'royal flush': None, 'straight flush': None, 'fours': [], 'full house': None, 'flush': 'Diamonds', 'straight': [], 'threes': [], 'double pairs': [], 'pairs': [7], 'high': 11}

Player 3: ['J Spades', '10 Spades']

{'royal flush': None, 'straight flush': None, 'fours': [], 'full house': None, 'flush': [], 'straight': [], 'threes': [], 'double pairs': [], 'pairs': [], 'high': 10}

Winner: [2]

```

## TODO

- [x] Model a Texas Holdem Poker game

- [ ] Live computation of odds of winning depending on each player's point of view

- [ ] Investigate card recognition from pictures

- [ ] Investigate Reinforcement Learning to capture player decision-making profile