Edward Oakes edoakes
edoakes
/ distributed_monte_carlo_pi.py
Last active
February 8, 2020 02:32
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| import math | |
| import random | |
| import time | |
| def sample(num_samples): | |
| num_inside = 0 | |
| for _ in range(num_samples): | |
| x, y = random.uniform(-1, 1), random.uniform(-1, 1) | |
| if math.hypot(x, y) <= 1: | |
| num_inside += 1 |
edoakes
/ parallel_monte_carlo_pi.py
Last active
February 8, 2020 01:10
Monte Carlo Pi Estimation in Python - parallel using multiprocessing.Pool
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import math | |
| import random | |
| import time | |
| def sample(num_samples): | |
| num_inside = 0 | |
| for _ in range(num_samples): | |
| x, y = random.uniform(-1, 1), random.uniform(-1, 1) | |
| if math.hypot(x, y) <= 1: | |
| num_inside += 1 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import math | |
| import random | |
| import time | |
| def sample(num_samples): | |
| num_inside = 0 | |
| for _ in range(num_samples): | |
| x, y = random.uniform(-1, 1), random.uniform(-1, 1) | |
| if math.hypot(x, y) <= 1: | |
| num_inside += 1 |
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