Incomplete

lab-python-list-comprehension.ipynb

@@ -75,13 +75,81 @@
     "\n",
     "```\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e491f058-34ab-484c-b929-e2ff01e8b668",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "unmatched ')' (650447696.py, line 18)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;36m  Cell \u001b[1;32mIn[11], line 18\u001b[1;36m\u001b[0m\n\u001b[1;33m    total_price = sum(int(input(f\"Enter the price of {product}: \"))) for product in customer_orders)\u001b[0m\n\u001b[1;37m                                                                                                   ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m unmatched ')'\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "def initialize_inventory(products):\n",
+    "    inventory = {product: int(input(f\"Enter the quantity of {product} available: \")) for product in products}\n",
+    "    return inventory\n",
+    "\n",
+    "def get_customer_orders():\n",
+    "    num_orders = int(input(\"How many products would you like to order?\"))\n",
+    "    customer_orders = {input(f\"Enter product name #{i + 1}: \") for i in range(num_orders)}\n",
+    "    return customer_orders\n",
+    "\n",
+    "def update_inventory(customer_orders,inventory):\n",
+    "    inventory = {order: inventory[order] - 1 if order in customer_orders else inventory[order] for order in inventory}\n",
+    "    inventory = {order: quantity for order, quantity in inventory.items() if quantity > 0}\n",
+    "    return inventory\n",
+    "\n",
+    "def total_price(customer_orders):\n",
+    "    total_price = sum(int(input(f\"Enter the price of {product}: \"))) for product in customer_orders)\n",
+    "    return total_price\n",
+    "    \n",
+    "def calculate_order_statistics(customer_orders,products):\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_ordered = len(customer_orders)/len(products)*100\n",
+    "    return total_products_ordered, percentage_ordered\n",
+    "\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    print(\"Order Statistics: \")\n",
+    "    print(\"Total Products Ordered:\", order_statistics[0])\n",
+    "    print(\"Percentage of Unique Products Ordered:\", order_statistics[1])   \n",
+    "\n",
+    "def print_updated_inventory(update_inventory):\n",
+    "    print(f\"The inventory is now: {update_inventory}.\")\n",
+    "    \n",
+    "inventory = initialize_inventory(products)\n",
+    "customer_orders = get_customer_orders()\n",
+    "updated_inventory = update_inventory(customer_orders,inventory)\n",
+    "order_statistics = calculate_order_statistics(customer_orders,products)\n",
+    "total = total_price(customer_orders)\n",
+    "print_order_statistics(order_statistics)\n",
+    "print_updated_inventory(updated_inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9810e740-a15b-4a1e-8a5e-6db469866736",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -93,7 +161,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,