Bernoulli.py
From Werner KRAUTH
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| ==Context== | ==Context== | ||
| - | This page is part of my 2024 [https://www.ipht.fr/Meetings/ 2024 Beg Rohu] Lectures on "The second , the Wolff cluster algorithm for the Ising model on an LxL square lattice in two dimensions | + | This page is part of my [[BegRohu_Lectures_2024|2024 Beg Rohu Lectures]] on "The second Markov chain revolution" at the [https://www.ipht.fr/Meetings/BegRohu2024/index.html Summer School] "Concepts and Methods of Statistical Physics" (3 - 15 June 2024). |
| + | |||
| + | ==Python program== | ||
| import random | import random | ||
Current revision
[edit]
Context
This page is part of my 2024 Beg Rohu Lectures on "The second Markov chain revolution" at the Summer School "Concepts and Methods of Statistical Physics" (3 - 15 June 2024).
[edit]
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)
