'Solution'

app/main.py

@@ -1 +1,30 @@
-# write your code here
+import random
+
+# import matplotlib.pyplot as plt
+
+
+def flip_coin() -> dict:
+    num_trials = 10000
+    results = {i: 0 for i in range(11)}
+
+    for _ in range(num_trials):
+        num_heads = sum(random.choice([0, 1]) for _ in range(10))
+        results[num_heads] += 1
+
+    percentages = {key: (value / num_trials) * 100
+                   for key, value in results.items()}
+    return percentages
+
+
+# def draw_gaussian_distribution_graph(percentages: dict) -> None:
+#     plt.bar(percentages.keys(), percentages.values())
+#     plt.xlabel("Number of Heads")
+#     plt.ylabel("Percentage")
+#     plt.title("Gaussian Distribution of Coin Flips")
+#     plt.show()
+#
+#
+# if __name__ == "__main__":
+#     percentages = flip_coin()
+#     print(percentages)
+#     draw_gaussian_distribution_graph(percentages)