'Solution'

app/main.py

@@ -1 +1,25 @@
-# write your code here
+import random
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def flip_coin() -> dict:
+    coin = ["heads", "tails"]
+    res = {i: 0 for i in range(11)}
+    for _ in range(10000):
+        count = sum(random.choice([0, 1]) for _ in range(10))
+        res[count] += 1
+
+    return {key: (value/10000) * 100 for key, value in res.items()}
+
+def draw_gaussian_distribution_graph() -> None:
+
+    res = flip_coin()
+
+    ypoints = np.array([value for value in res.values()])
+
+    plt.plot(ypoints, color='blue')
+    plt.title("Gaussian distribution")
+    plt.xlabel("Heads count")
+    plt.ylabel("Drop percentage %")
+    plt.show()