diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..5008ddf
Binary files /dev/null and b/.DS_Store differ
diff --git a/lab-python-list-comprehension.ipynb b/lab-python-list-comprehension.ipynb
index 5a3c3e1..e021430 100644
--- a/lab-python-list-comprehension.ipynb
+++ b/lab-python-list-comprehension.ipynb
@@ -75,11 +75,159 @@
     "\n",
     "```\n"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eace0525",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8ecb04b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'total order price is $20'"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "def initialize_inventory(products):\n",
+    "    inventory= {product: int(input(f'Enter the quantity of \"{product}\" in the inventory: ')) for product in products}\n",
+    "    \n",
+    "    return inventory\n",
+    "\n",
+    "inventory=initialize_inventory(products)\n",
+    "\n",
+    "# Apply comprehension to get customer order function: \n",
+    "customer_order=set()\n",
+    "def get_customer_orders():\n",
+    "    n = int(input(\"How many products would you like to order? \"))\n",
+    "    customer_order={input(\"enter a product you want to order between t-shirt, mug, hat, book, keychain \") for i in range(n)}\n",
+    "\n",
+    "    return customer_order\n",
+    "\n",
+    "#updated_inventory function with comprehension:\n",
+    "\n",
+    "def update_inventory(customer_order, inventory):\n",
+    "    updated_inventory={product: qty - (1 if product in customer_order else 0) for product, qty in inventory.items() if qty - (1 if product in customer_order else 0) > 0}\n",
+    "    return f\"the updated inventory is : {updated_inventory}\"\n",
+    "\n",
+    "def calculate_order_statistics(customer_order, products):\n",
+    "    totalorder=len(customer_order)\n",
+    "    uniqueproducts=totalorder/len(products)*100\n",
+    "    order_statistics=(totalorder, uniqueproducts)\n",
+    "    return order_statistics \n",
+    "\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    print(f\"Total products ordered: {order_statistics[0]}\")\n",
+    "    print(f\"Percentage of unique products ordered: {order_statistics[1]:.2f}%\")\n",
+    "\n",
+    "def print_updated_inventory(inventory):\n",
+    "    for products,quantities in inventory.items():\n",
+    "        print(f\"{products}: {quantities}\")\n",
+    "\n",
+    "\n",
+    "# build calculate total price function:\n",
+    "\n",
+    "\n",
+    "def calculate_total_price(customer_order):\n",
+    "    prices = [int(input(f\"enter the price of {product}\")) for product in customer_order]\n",
+    "    total_price=sum(prices)\n",
+    "    return f\"total order price is ${total_price}\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "08f5c7ca",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "inital inventory = {'t-shirt': 1, 'mug': 2, 'hat': 2, 'book': 1, 'keychain': 1}\n",
+      "\n",
+      "customer has ordered : {'mug', 't-shirt'}\n",
+      "\n",
+      "\n",
+      " Order Statistics: \n",
+      "Total products ordered: 2\n",
+      "Percentage of unique products ordered: 40.00%\n",
+      "\n",
+      "Updated inventory :\n",
+      "t-shirt: 1\n",
+      "mug: 2\n",
+      "hat: 2\n",
+      "book: 1\n",
+      "keychain: 1\n",
+      "\n",
+      "total order price is: \n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'total order price is $30'"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#actual program \n",
+    "\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #initial product list\n",
+    "inventory={}#empty inventory dictionary\n",
+    "\n",
+    "\n",
+    "inventory=initialize_inventory(products)\n",
+    "print(f\"inital inventory = {inventory}\")\n",
+    "print(\"\")\n",
+    "customer_order=get_customer_orders()\n",
+    "print(f\"customer has ordered : {customer_order}\")\n",
+    "print(\"\")\n",
+    "updated_inventory=update_inventory(customer_order, inventory)\n",
+    "print(\"\")\n",
+    "print(\" Order Statistics: \")\n",
+    "order_statistics = calculate_order_statistics(customer_order, products)\n",
+    "print_order_statistics(order_statistics)\n",
+    "print(\"\")\n",
+    "print(\"Updated inventory :\") \n",
+    "print_updated_inventory(inventory)\n",
+    "print(\"\")\n",
+    "print(\"total order price is: \")\n",
+    "calculate_total_price(customer_order)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d2852429",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -93,7 +241,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,