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Monte Carlo estimation of pi
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| import math | |
| import random | |
| count = 0 | |
| n = 100000 | |
| for i in range(n): | |
| x_pos = random.uniform(0, 1) | |
| y_pos = random.uniform(0, 1) | |
| if x_pos**2 + y_pos**2 <= 1.0: | |
| count += 1 | |
| print 4*float(count)/float(n) |
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