Monte Carlo Simulation using Python to Predict Winning Hand

This project uses Python to perform a Monte Carlo simulation to calcuate the probability of each hand winning a game of Poker.

This project was done as a part of the MIDS Bootcamp facilitated by Andrew Hilton and Genevieve Lipp

Note: Additional Details and instructions will be added in the future

Contents:

1. Python Files

The codes directory contains the following python files:

1. card - defines the "Card" class
2. deck - defines the "Deck" class
3. future - defines the FutureCards class
4. pinput - reads the hands from a text file and create the FutureCards Deck
5. evaluate - ompares 2 poker Hands and decide the winning hand
6. poker - performs a monte-carlo simulation to calcuate the odds of each hand winning the poker game
7. execute - To Call poker.py with default arguments for users who don't want to use command line

2. Test File

The poker_test.txt contains 3 sample hands for testing the monte-carlo simulation. The

Note: To ensure proper testing, the third hand is designed in such a way that it is not expected to win any games.