diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..81f2f8a 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -43,11 +43,144 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "2d41cc06",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products =[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "d558489c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "    for product in products:\n",
+    "        cantidad = int(input(f\"Introduce la cantidad de {product}: \"))\n",
+    "        inventory[product]= cantidad\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "acd9eed7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_customer_orders():\n",
+    "    customer_orders = set()\n",
+    "    add_another = \"yes\"\n",
+    "    \n",
+    "    while add_another == \"yes\" :\n",
+    "        product = input(\"Qué producto quieres añadir?: \")\n",
+    "        customer_orders.add(product)\n",
+    "        add_another = input(\"Desea seguir añadiendo?\").lower()\n",
+    "    return customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "c9dbb9e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for product in customer_orders:\n",
+    "        if product in inventory:\n",
+    "            inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "4c0b4fde",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_unique_products = (total_products_ordered / len(products)) *100\n",
+    "\n",
+    "    return total_products_ordered, percentage_unique_products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "7d518e7d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "    total, percentage = order_statistics\n",
+    "   \n",
+    "    print (\"order Statistics\")\n",
+    "    print (\"------\")\n",
+    "    print (f\"Total products ordered: {total}\")\n",
+    "    print (f\"Percentage of unique products ordered: {percentage}%\")\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "31d06684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    print (\"updated inventory: \")\n",
+    "    for product in inventory:\n",
+    "        print(f\"{product}: {inventory[product]}\")\n",
+    "     "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "d12e676c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "order Statistics\n",
+      "------\n",
+      "Total products ordered: 1\n",
+      "Percentage of unique products ordered: 20.0%\n",
+      "updated inventory: \n",
+      "t-shirt: 10\n",
+      "mug: 9\n",
+      "hat: 10\n",
+      "book: 10\n",
+      "keychain: 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = initialize_inventory(products)\n",
+    "customer_orders = get_customer_orders()\n",
+    "update_inventory(customer_orders, inventory)\n",
+    "order_statistics = calculate_order_statistics (customer_orders, products)\n",
+    "print_order_statistics (order_statistics)\n",
+    "print_updated_inventory (inventory)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +194,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,