diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..97bd9ff 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -43,11 +43,166 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "dcc1c843",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "    for i in products:\n",
+    "        cantidad = int(input(f\"Ingresa la cantidad disponible para '{i}': \"))\n",
+    "        inventory[i] = cantidad\n",
+    "    return inventory\n",
+    "\n",
+    "inventory = initialize_inventory(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "6e67e815",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_customer_orders():\n",
+    "    customer_orders = set() \n",
+    "    seguir_comprando = input(\"¿Quieres comprar algo ? yes or no: \").lower()\n",
+    "    while seguir_comprando == \"yes\":\n",
+    "        product = input(\"Introduce lo que vas a comprar: \")\n",
+    "        customer_orders.add(product)\n",
+    "        seguir_comprando = input(\"¿Quieres seguir comprando? yes or no: \").lower()\n",
+    "    \n",
+    "    return customer_orders\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "26a198c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders , inventory):\n",
+    "    for i in customer_orders:\n",
+    "        inventory[i] -= 1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "4f739ec5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'mug'}"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "7f75a048",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    order_statistics = len(customer_orders)\n",
+    "    percentage_of_unique = (len(customer_orders) / len(products)) * 100\n",
+    "    return order_statistics, percentage_of_unique\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "c4d479a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "    total_products_ordered, percentage_unique_products = order_statistics\n",
+    "    print(f\"Total de productos pedidos: {total_products_ordered}\")\n",
+    "    print(f\"Porcentaje de productos únicos pedidos: {percentage_unique_products}%\")\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "f7d48533",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    for product, cantidad in inventory.items():\n",
+    "        print(f\"{product}: {cantidad}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a26c3e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total de productos pedidos: 2\n",
+      "Porcentaje de productos únicos pedidos: 40.0%\n",
+      "t-shirt: 50\n",
+      "mug: 39\n",
+      "hat: 50\n",
+      "book: 39\n",
+      "keychain: 30\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "inventory = initialize_inventory(products)\n",
+    "\n",
+    "customer_orders = get_customer_orders()\n",
+    "\n",
+    "update_inventory(customer_orders, inventory)\n",
+    "\n",
+    "order_statistics = calculate_order_statistics(customer_orders, products)\n",
+    "\n",
+    "print_order_statistics(order_statistics)\n",
+    "\n",
+    "print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b06543eb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +216,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.6"
   }
  },
  "nbformat": 4,