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Kernel: Python 3 (system-wide)
import numpy as np

np.random.randint(0,2,size=10)
array([0, 0, 0, 0, 0, 1, 1, 0, 0, 1])

we use this to generate a random list of a coin toss.

def ten_flips():
    flips = np.random.randint(0,2,size=10)
    head = 0
    for coin in flips:
        if np.sum(flips) >= 5:
            head = head + 1
        return head

We have this set up so that when the coin is flipped, if it is greater than or equal to 5, it will be added onto the counter.

ten_flips()
0
(sum([ten_flips() for i in range(100)])/100)
0.61

This would mean that the probability of getting at least 5 heads is roughly 61%