Complete lab functions

lab-python-functions.ipynb

@@ -43,11 +43,92 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "f1e935bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def initialize_inventory(products):\n",
+    "    products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "    inventory = {}\n",
+    "\n",
+    "    for product in products:\n",
+    "        quantity = int(input(f\"Please enter the quantity of the {product} available\"))\n",
+    "        inventory[product]= quantity #dict_name[key] = value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9913a5cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()\n",
+    "def get_customer_orders():\n",
+    "    another_order = \"YES\" #set a true value for while loop, so it automatically ends when this is false  \n",
+    "    while another_order == \"YES\":\n",
+    "        order_items = input(\"Please enter the name of the product you want to order: \")\n",
+    "        customer_orders.add(order_items) #here the product ordered is added to the set\n",
+    "        another_order = input(\"Do you want to order another product? Please type 'YES' or 'NO': \")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0f049094",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for product, quantity in inventory.items(): #remember to use the key,value format when updating a dictionary!!!\n",
+    "        if product in customer_orders:\n",
+    "            inventory[product] = quantity -1 #dict_name[key] = value - 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "acc30174",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    return customer_orders\n",
+    "    available_products = products.count()\n",
+    "    products_ordered = len(customer_orders)\n",
+    "    percentage_of_unique_products_ordered = products_ordered / available_products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1b301175",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "    print (order_statistics)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "c105bcf8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    print (inventory)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +142,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,