Python, Random Numbers, Monte Carlo Simulation, Data Science, Probability.
function returns a list H_count = H_count + 1 numerical_probability.append(H_count/total_flips) import matplotlib.pyplot as plt plt.plot(numerical_probability) plt.xlabel("flip counts") plt.ylabel("numerical probability") Numerical probability approaches the theoretical value of 0.5 for a large