Solved Lab

lab-python-flow-control.ipynb

@@ -37,13 +37,89 @@
     "\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": null,
+   "id": "016a7163-78af-466f-9765-a0d060197191",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 1. Define a list of products\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "# 2. Create an empty dictionary for inventory\n",
+    "inventory = {}\n",
+    "\n",
+    "# 3. Ask the user for quantity of each product\n",
+    "print(\"Enter the quantity available for each product:\")\n",
+    "for product in products:\n",
+    "    quantity = input(f\"Quantity of {product}: \")\n",
+    "\n",
+    "    # Ensure user enters a valid number\n",
+    "    while not quantity.isdigit():\n",
+    "        print(\"Please enter a valid number.\")\n",
+    "        quantity = input(f\"Quantity of {product}: \")\n",
+    "\n",
+    "    inventory[product] = int(quantity)\n",
+    "\n",
+    "\n",
+    "# 4. Create an empty set for customer orders\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# 5. Ask the user to enter product orders repeatedly\n",
+    "print(\"\\nEnter the products that the customer wants to order.\")\n",
+    "while True:\n",
+    "    order = input(\"Enter a product name: \").lower()\n",
+    "\n",
+    "    # Validate input\n",
+    "    while order not in products:\n",
+    "        print(\"Invalid product. Please enter a valid product from the list.\")\n",
+    "        order = input(\"Enter a product name: \").lower()\n",
+    "\n",
+    "    customer_orders.add(order)\n",
+    "\n",
+    "    # Ask if they want to add another product\n",
+    "    another = input(\"Add another product? (yes/no): \").lower()\n",
+    "    if another != \"yes\":\n",
+    "        break\n",
+    "\n",
+    "\n",
+    "# 6. Print the products ordered\n",
+    "print(\"\\nCustomer has ordered these products:\")\n",
+    "for item in customer_orders:\n",
+    "    print(\"-\", item)\n",
+    "\n",
+    "\n",
+    "# 7. Calculate statistics\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "# 8. Store statistics in a tuple\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "# 9. 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]:.2f}%\")\n",
+    "\n",
+    "\n",
+    "# 10. Update inventory for only ordered products\n",
+    "for item in customer_orders:\n",
+    "    inventory[item] -= 1\n",
+    "\n",
+    "# 11. Print updated inventory\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, qty in inventory.items():\n",
+    "    print(f\"{product}: {qty}\")"
+   ]
   }
  ],
  "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": {
@@ -55,7 +131,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,