An interactive Python Galton board simulator that visualizes Bernoulli trials, binomial probability, Pascal’s triangle, and statistical convergence with live animations.

A Python program to calculate the probability of drawing a specific combination of items from a collection using Monte Carlo simulations. This project leverages object-oriented programming, random sampling, and statistical analysis to estimate probabilities in complex scenarios.