diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 00000000..e9469d5f
Binary files /dev/null and b/.DS_Store differ
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..ca5c6fcd 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,100 @@
     "\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": [
+      "{'t-shirt': 100}\n",
+      "{'t-shirt': 100, 'mug': 150}\n",
+      "{'t-shirt': 100, 'mug': 150, 'hat': 200}\n",
+      "{'t-shirt': 100, 'mug': 150, 'hat': 200, 'book': 1800}\n",
+      "{'t-shirt': 100, 'mug': 150, 'hat': 200, 'book': 1800, 'keychain': 4}\n",
+      "Sorry, 'bool' is not in our product list. Please choose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
+      "Sorry, 'keichan' is not in our product list. Please choose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
+      "\n",
+      "Customer Orders:\n",
+      "book\n",
+      "mug\n",
+      "t-shirt\n",
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0%\n",
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt: 99\n",
+      "mug: 149\n",
+      "hat: 200\n",
+      "book: 1799\n",
+      "keychain: 4\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #Step 1: List definition\n",
+    "inventory = {} #Step 2: Empty dictionary definition\n",
+    "for product in products:\n",
+    "    inventory[product]  = int(input(f\"Enter the quantity of {product} in stock: \")) #Step 3: Prompt user for input\n",
+    "    print(inventory)\n",
+    "# Step 4: Create an empty set called customer_orders\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# Step 5: Ask user to input 3 products they want to order\n",
+    "for i in range(3):\n",
+    "    while True:\n",
+    "        order = input(f\"Enter product {i+1} to order from {products}: \")\n",
+    "        if order in products:\n",
+    "            customer_orders.add(order)\n",
+    "            break\n",
+    "        else:\n",
+    "            print(f\"Sorry, '{order}' is not in our product list. Please choose from {products}\")\n",
+    "\n",
+    "# Step 6: Print the products in customer_orders set\n",
+    "print(\"\\nCustomer Orders:\")\n",
+    "for order in customer_orders:\n",
+    "    print(order)\n",
+    "\n",
+    "# Step 7: Calculate order statistics\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",
+    "\n",
+    "# Step 8: Print order statistics\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]:.1f}%\")\n",
+    "\n",
+    "# Step 9: Update inventory by subtracting 1 from each ordered product\n",
+    "for product in customer_orders:\n",
+    "    if inventory[product] > 0:\n",
+    "        inventory[product] -= 1\n",
+    "    else:\n",
+    "        print(f\"Warning: {product} is out of stock!\")\n",
+    "\n",
+    "# Step 10: Print updated inventory\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +157,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,