Solution

app/main.py

@@ -1 +1,41 @@
-# write your code here
+import random
+import matplotlib.pyplot as plt
+
+
+def flip_coin() -> dict:
+    result = {}
+    coin_side = ["head", "tail"]
+
+    for _ in range(10_000):
+        heads = sum(random.choice(coin_side) == "head" for _ in range(10))
+        if heads in result:
+            result[heads] += 1
+        else:
+            result[heads] = 1
+
+    percentages = {key: round((value / 10_000) * 100, 2)
+                   for key, value
+                   in result.items()}
+    return percentages
+
+
+def draw_gaussian_distribution_graph(data: dict) -> None:
+    x_values = sorted(data.keys())
+    y_values = [data[key] for key in x_values]
+
+    plt.figure(figsize=(10, 6))
+    plt.plot(x_values,
+             y_values,
+             marker="o",
+             linestyle="-",
+             color="blue",
+             label="Distribution")
+
+    plt.title("Gaussian Distribution of Heads in 10 Flips", fontsize=16)
+    plt.xlabel("Number of Heads", fontsize=14)
+    plt.ylabel("Percentage (%)", fontsize=14)
+    plt.xticks(range(min(x_values), max(x_values) + 1))
+    plt.grid(True, linestyle="--", alpha=0.6)
+    plt.legend(fontsize=12)
+
+    plt.show()