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Stochastic estimation of pi using dask
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| import dask.bag as db | |
| import random | |
| NUM_SAMPLES=100 | |
| def inside(p): | |
| x, y = random.random(), random.random() | |
| return x*x + y*y < 1 | |
| def calc_pi(): | |
| count = db.from_sequence(range(0, NUM_SAMPLES)).filter(inside).count().compute() | |
| return 4.0 * count / NUM_SAMPLES | |
| print(calc_pi()) |
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