diff --git a/lab-python-flow-control.ipynb b/lab-python-flow-control.ipynb
index f4c7391..285e97c 100644
--- a/lab-python-flow-control.ipynb
+++ b/lab-python-flow-control.ipynb
@@ -37,11 +37,130 @@
     "\n",
     "3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for  the products that were ordered (those in \"customer_orders\")."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "af4c676c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter quantity of {[product]}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "fa28dca9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()\n",
+    "\n",
+    "while True:\n",
+    "    product_order = input(\"Which product do you want to order?: \").lower()\n",
+    "    customer_orders.add(product_order)\n",
+    "    answer = input(\"Do you want to order another product? yes/no: \").lower()\n",
+    "    if answer != \"yes\":\n",
+    "        break\n",
+    "\n",
+    "    \n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "b256bc36",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 10, 'mug': 9, 'hat': 8, 'book': 10, 'keychain': 10}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in customer_orders:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "print(inventory)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7a94670",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1a1382d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3385caf7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "080202a6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "de1ad654",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "778f53d4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "97e13ff2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "    \n",
+    "\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -55,7 +174,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,