RosettaCodeData/Task/Monte-Carlo-methods/Python/monte-carlo-methods-2.py

18 lines
343 B
Python

from random import random
from math import hypot
try:
import psyco
psyco.full()
except:
pass
def pi(nthrows):
inside = 0
for i in xrange(nthrows):
if hypot(random(), random()) < 1:
inside += 1
return 4.0 * inside / nthrows
for n in [10**4, 10**6, 10**7, 10**8]:
print "%9d: %07f" % (n, pi(n))