Lab functions

lab-python-functions.ipynb

@@ -43,13 +43,89 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "76adb064-bc3d-433e-94b4-6bf9ddd168ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the quantity of t-shirt available:  1\n",
+      "Enter the quantity of mug available:  1\n",
+      "Enter the quantity of hat available:  1\n",
+      "Enter the quantity of book available:  1\n",
+      "Enter the quantity of keychain available:  1\n",
+      "Please choose a product from the list ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  hat\n",
+      "Do you want to add another product? yes or no. yes\n",
+      "Please choose a product from the list ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  mug\n",
+      "Do you want to add another product? yes or no. no\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You order 40.0% of the inventory.\n",
+      "The inventory is now: {'t-shirt': 1, 'mug': 0, 'hat': 0, 'book': 1, 'keychain': 1}.\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",
+    "    customer_orders = set()\n",
+    "    add_another = \"yes\"\n",
+    "    while add_another == \"yes\":\n",
+    "        product_order = input(f\"Please choose a product from the list {products}: \")\n",
+    "        customer_orders.add(product_order)\n",
+    "        add_another = input(\"Do you want to add another product? yes or no.\")\n",
+    "    return customer_orders\n",
+    "\n",
+    "def update_inventory(customer_orders,inventory):\n",
+    "    for order in customer_orders:\n",
+    "        inventory[order] -= 1\n",
+    "    return inventory\n",
+    "\n",
+    "def calculate_order_statistics(customer_orders,products):\n",
+    "    return len(customer_orders)/len(products)*100\n",
+    "\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    print(f\"You order {order_statistics}% of the inventory.\")\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",
+    "print_order_statistics(order_statistics)\n",
+    "print_updated_inventory(updated_inventory)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "26321be3-3e0b-4fe9-b92c-699e6a865d38",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "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": {
@@ -61,7 +137,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,