Bernoulli.py
From Werner KRAUTH
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| ==Context== | ==Context== | ||
| - | This page is part of my Lectures on "The second Markov chain revolution" at the [https://www.ipht.fr/Meetings/BegRohu2024/index.html 2024 Beg Rohu] Summer School "Concepts and Methods of Statistical Physics" (3 - 15 June 2024). | + | This page is part of my [[BegRohu_Lectures_2024|Lectures]] on "The second Markov chain revolution" at the [https://www.ipht.fr/Meetings/BegRohu2024/index.html 2024 Beg Rohu] Summer School "Concepts and Methods of Statistical Physics" (3 - 15 June 2024). |
| ==Python program== | ==Python program== | ||
Revision as of 14:44, 6 June 2024
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)
