- A direct implementation of hand strength estimation, hand potential, and effective hand strength functions for hands in No-Limit Hold’em (NLH) poker using enumeration methods in Python (information taken from this paper)
- Developed Monte Carlo simulation-based functions for preflop hand analysis with a 3% margin of error and generated visualizations to display results
- The Deuces library has been used for for game simulation, hand evaluation etc.
Refer to
poker_report.pdffor comprehensive information on all of the material and explanation of the code written for this project
There are separate files for each function, but simulation.py is an amalgamation of all the functions.
Run python3 simulation.py to simulate preflop and postflop hand simulations for every function.