diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..b12dfc91 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,131 @@
     "\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": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Final inventory {'t-shirts': 20, 'mug': 15, 'hat': 20, 'book': 10, 'keychain': 15}\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirts\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "\n",
+    "for item in products:\n",
+    "    quantity = int(input(f\"Please enter the quantity for {item}: \"))\n",
+    "    inventory[item] = quantity\n",
+    "\n",
+    "print(\"Final inventory\", inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders {'hat', 'book', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customers_orders = set()\n",
+    "\n",
+    "for products in range(3):\n",
+    "    order = input(\"Please enter the product they ordered:\")\n",
+    "    customers_orders.add(order)\n",
+    "\n",
+    "print(\"Customer orders\", customers_orders)\n",
+    "  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total products ordered: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_orders = len(customers_orders)\n",
+    "print(\"Total products ordered:\", total_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order statistics:\n",
+      "Total products 5\n",
+      "customer ordered 60.0% of available products.\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_available_products = len(inventory.values())\n",
+    "percentage_ordered = (total_orders / total_available_products) * 100\n",
+    "\n",
+    "order_status = (total_orders, percentage_ordered)\n",
+    "\n",
+    "print(\"Order statistics:\")\n",
+    "print(\"Total products\", total_available_products)    \n",
+    "print(f\"customer ordered {percentage_ordered}% of available products.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated inventory after selling one unit of each ordered product:\n",
+      "t-shirts: 20\n",
+      "mug: 14\n",
+      "hat: 19\n",
+      "book: 9\n",
+      "keychain: 15\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in customers_orders:\n",
+    "        inventory[product] -= 1\n",
+    "\n",
+    "print(\"Updated inventory after selling one unit of each ordered product:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")\n",
+    "\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +188,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,