diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..1b69ce69 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,197 @@
     "\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": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Define a list called `products` \n",
+    "# that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "print(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 2. Create an empty dictionary for inventory:\n",
+    "\n",
+    "inventory = {}\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 3, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 8}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 3. Input quantities for each product: Use a loop to ask the user for the quantity of each product \n",
+    "# and store it in the dictionary. Remember, user input is a string, so convert it to an integer: \n",
+    "\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter the quantity for {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "set()\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 4. Create an empty set for customer orders:\n",
+    "\n",
+    "customer_orders = set()\n",
+    "\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Products in customer orders: {'hat', 'mug', 'book'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 5. Input customer orders: Ask the user for three products and add them to the set. \n",
+    "# You might want to ensure the user inputs valid product names:\n",
+    "# 6. Print customer orders\n",
+    "\n",
+    "for _ in range(3):\n",
+    "    product = input(\"Enter a product to order: \")\n",
+    "    if product in products:\n",
+    "        customer_orders.add(product)\n",
+    "    else:\n",
+    "        print(\"Invalid product. Please choose from the list.\")\n",
+    "\n",
+    "print(\"Products in customer orders:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 7. Calculate order statistics:\n",
+    "# Total Products Ordered is simply the length of the customer_orders set.\n",
+    "# Percentage of Products Ordered is the total ordered divided by the total products, times 100.\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)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.00%\n"
+     ]
+    }
+   ],
+   "source": [
+    "#8. Print the stats\n",
+    "\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#9. Update inventory: Subtract 1 from the quantity of each ordered product:\n",
+    "\n",
+    "for product in customer_orders:\n",
+    "    if inventory[product] > 0:\n",
+    "        inventory[product] -= 1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 10. Print the updated inventory:\n",
+    "\n",
+    "print(\"Updated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\") "
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +254,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,