diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..02a9b8b3 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,167 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 1: Define the list of products\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 2: Create an inventory with predefined quantities\n",
+    "inventory = {\n",
+    "    \"t-shirt\": 5,\n",
+    "    \"mug\": 3,\n",
+    "    \"hat\": 2,\n",
+    "    \"book\": 4,\n",
+    "    \"keychain\": 6\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 3: Create an empty set for customer orders\n",
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 4: Simulate user selecting three products\n",
+    "selected_orders = [\"mug\", \"book\", \"hat\"]  # puedes cambiar estos valores\n",
+    "for order in selected_orders:\n",
+    "    if order in products:\n",
+    "        customer_orders.add(order)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Customer Orders:\n",
+      "- hat\n",
+      "- mug\n",
+      "- book\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 5: Print customer orders\n",
+    "print(\"\\nCustomer Orders:\")\n",
+    "for item in customer_orders:\n",
+    "    print(\"-\", item)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# Step 6: Calculate order statistics\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 7: Store statistics in a tuple\n",
+    "order_status = (total_products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.00%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 8: Print order statistics\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 9: Update inventory (subtract 1 for each ordered product)\n",
+    "for item in customer_orders:\n",
+    "    if inventory[item] > 0:\n",
+    "        inventory[item] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt: 5\n",
+      "mug: 2\n",
+      "hat: 1\n",
+      "book: 3\n",
+      "keychain: 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 10: Print updated inventory\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +224,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,