Bernoulli.py

From Werner KRAUTH

Context

This page is part of my Lectures on "The second Markov chain revolution" at the 2024 Beg Rohu Summer School "Concepts and Methods of Statistical Physics" (3 - 15 June 2024).

Python program

import random
p = 0.7
count_a = 0
N_trial = 1000000
for iter in range(N_trial):
    Upsilon = random.uniform(0.0, 1.0)
    if Upsilon < p: count_a += 1
print(count_a / N_trial)