diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..ffac1d28 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": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
+    " # Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create an empty dictionary called `inventory`.\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 7, 'hat': 9, 'book': 4, 'keychain': 8}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
+    "inventory[\"t-shirt\"] = int(input(\"Enter the quantity of product t-shirt: \"))\n",
+    "inventory[\"mug\"] = int(input(\"Enter the quantity of product mug: \"))\n",
+    "inventory[\"hat\"] = int(input(\"Enter the quantity of product hat: \"))\n",
+    "inventory[\"book\"] = int(input(\"Enter the quantity of product book: \"))\n",
+    "inventory[\"keychain\"] = int(input(\"Enter the quantity of product keychain: \"))\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create an empty set called `customer_orders`.\n",
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
+    "customer_orders.add(input(\"Enter product 1: \"))\n",
+    "customer_orders.add(input(\"Enter product 2: \"))\n",
+    "customer_orders.add(input(\"Enter product 3: \"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'hat', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Print the products in the `customer_orders` set.\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculate the following order statistics:\n",
+    "   #Total Products Ordered: The total number of products in the `customer_orders` set.\n",
+    "   #Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
+    "   \n",
+    "   #Store these statistics in a tuple called `order_status\n",
+    "\n",
+    "total_products_ordered=len(customer_orders)\n",
+    "percentage_ordered=total_products_ordered/len(products)*100\n",
+    "order_status=(total_products_ordered, percentage_ordered)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics: Total Products Ordered:  3 Percentage of Products Ordered:  60.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Print the order statistics using the following format:\n",
+    "   #Order Statistics:\n",
+    "   #Total Products Ordered: <total_products_ordered>\n",
+    "   #Percentage of Products Ordered: <percentage_ordered>% \n",
+    "print(\"Order Statistics:\", \"Total Products Ordered: \", total_products_ordered, \"Percentage of Products Ordered: \", percentage_ordered, \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "\n",
+    "for product in customer_orders:\n",
+    "    inventory[product] = inventory[product] - 1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 5\n",
+      "mug: 6\n",
+      "hat: 8\n",
+      "book: 3\n",
+      "keychain: 8\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "for product in inventory:\n",
+    "    print(f\"{product}: {inventory[product]}\")"
+   ]
   }
  ],
  "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": "3.14.7"
   }
  },
  "nbformat": 4,