diff --git a/lab-python-list-comprehension.ipynb b/lab-python-list-comprehension.ipynb
index 5a3c3e1..29732c2 100644
--- a/lab-python-list-comprehension.ipynb
+++ b/lab-python-list-comprehension.ipynb
@@ -75,11 +75,78 @@
     "\n",
     "```\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "6f0f1189",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of unique products ordered: 60.0\n",
+      "\n",
+      "Total Price: 299\n",
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt: 76\n",
+      "mug: 20\n",
+      "book: 70\n",
+      "keychain: 19\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "def initialize_inventory(products):\n",
+    "    inventory = {product: int(input(f\"Please enter the quantity of the {product} available: \")) for product in products}\n",
+    "    return inventory\n",
+    "\n",
+    "def get_customer_orders():\n",
+    "    number_of_orders = int(input(\"Please enter the number of items you want to order: \"))\n",
+    "    customer_orders = {input(\"Please enter the name of the product you want to order: \") for i in range(number_of_orders)}\n",
+    "    return customer_orders\n",
+    "       \n",
+    "def update_inventory(customer_orders, inventory):\n",
+    "    inventory = {\n",
+    "        product: (quantity -1 if product in customer_orders else quantity) \n",
+    "        for product, quantity in inventory.items() if (quantity -1 if product in customer_orders else quantity) >0 \n",
+    "    } #there is no pop or remove since this creates a whole new dict with the conditions in if\n",
+    "    return inventory\n",
+    "\n",
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    products_ordered = len(customer_orders)\n",
+    "    percentage_of_unique_products_ordered = (products_ordered / len(products)) *100\n",
+    "    return products_ordered, percentage_of_unique_products_ordered\n",
+    "\n",
+    "def total_order_price(customer_orders):\n",
+    "    order_price = [int(input(f\"Please enter the price of the {product}: \")) for product in customer_orders]\n",
+    "    total_order_cost = sum (order_price)\n",
+    "    return total_order_cost\n",
+    "\n",
+    "def print_updated_inventory(inventory):\n",
+    "    [print(f\"{product}: {quantity}\") for product, quantity in inventory.items()]\n",
+    "\n",
+    "inventory = initialize_inventory(products)\n",
+    "customer_orders = get_customer_orders()\n",
+    "inventory = update_inventory(customer_orders, inventory)\n",
+    "products_ordered, percentage_of_unique_products_ordered = calculate_order_statistics(customer_orders, products)\n",
+    "print (f\"Order Statistics:\\nTotal Products Ordered: {products_ordered}\\nPercentage of unique products ordered: {percentage_of_unique_products_ordered}\")\n",
+    "total_cost = total_order_price(customer_orders)\n",
+    "print(f\"\\nTotal Price: {total_cost}\")\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "print_updated_inventory(inventory)\n",
+    "\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -93,7 +160,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,