solved

lab-python-functions.ipynb

@@ -2,18 +2,16 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "# Lab | Functions"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "0c581062-8967-4d93-b06e-62833222f930",
-   "metadata": {
-    "tags": []
-   },
+   "metadata": {},
    "source": [
     "## Exercise: Managing Customer Orders with Functions\n",
     "\n",
@@ -43,11 +41,89 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #list of products\n",
+    "\n",
+    "def initialize_inventory(products): #function to initialize inventory\n",
+    "    inventory = {} #empty dictionary to store inventory\n",
+    "    for product in products:\n",
+    "        quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
+    "        inventory[product] = quantity\n",
+    "    return inventory\n",
+    "\n",
+    "\n",
+    "def get_customer_orders(): #function to get customer orders\n",
+    "    customer_orders = set() #empty set to store customer orders\n",
+    "    add_more = \"yes\"\n",
+    "    while add_more == \"yes\":\n",
+    "        product = input(\"Enter a product to order: \")\n",
+    "        customer_orders.add(product)\n",
+    "        add_more = input(\"Do you want to add another product? (yes/no): \").lower()\n",
+    "    return customer_orders\n",
+    "\n",
+    "\n",
+    "def update_inventory (customer_orders, inventory): #function to update inventory\n",
+    "    for product in customer_orders:\n",
+    "        if product in inventory:\n",
+    "            inventory[product] -= 1\n",
+    "    return inventory\n",
+    "\n",
+    "def calculate_order_statistics(customer_orders, products): #function to calculate order statistics\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_unique_products = (len(customer_orders) / len(products)) * 100 if products else 0\n",
+    "    return total_products_ordered, percentage_unique_products\n",
+    "\n",
+    "def print_order_statistics(order_statistics): #function to print order statistics\n",
+    "    total_products_ordered, percentage_unique_products = order_statistics\n",
+    "    print(f\"Total products ordered: {total_products_ordered}\")\n",
+    "    print(f\"Percentage of unique products ordered: {percentage_unique_products:.2f}%\")\n",
+    "\n",
+    "def print_updated_inventory(inventory): #function to print updated inventory\n",
+    "    print(\"Updated Inventory:\")\n",
+    "    for product in inventory:\n",
+    "        print(product + ':', inventory[product]) \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total products ordered: 3\n",
+      "Percentage of unique products ordered: 60.00%\n",
+      "Updated Inventory:\n",
+      "t-shirt: 1\n",
+      "mug: 1\n",
+      "hat: 3\n",
+      "book: 3\n",
+      "keychain: 4\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Execute the functions in order\n",
+    "inventory = initialize_inventory(products)\n",
+    "customer_orders = get_customer_orders()\n",
+    "update_inventory(customer_orders, inventory)\n",
+    "order_statistics = calculate_order_statistics(customer_orders, products)\n",
+    "print_order_statistics(order_statistics)\n",
+    "print_updated_inventory(inventory)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -61,9 +137,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 4
 }