functions lab completed

.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb

@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
+   "metadata": {},
+   "source": [
+    "# Lab | Functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c581062-8967-4d93-b06e-62833222f930",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Exercise: Managing Customer Orders with Functions\n",
+    "\n",
+    "In the previous exercise, you improved the code for managing customer orders by using loops and flow control. Now, let's take it a step further and refactor the code by introducing functions.\n",
+    "\n",
+    "Follow the steps below to complete the exercise:\n",
+    "\n",
+    "1. Define a function named `initialize_inventory` that takes `products` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
+    "\n",
+    "2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n",
+    "\n",
+    "3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n",
+    "\n",
+    "4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n",
+    "\n",
+    "5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. Inside the function, implement the code for printing the order statistics.\n",
+    "\n",
+    "6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory.\n",
+    "\n",
+    "7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
+    "\n",
+    "Hints for functions:\n",
+    "\n",
+    "- Consider the input parameters required for each function and their return values.\n",
+    "- Utilize function parameters and return values to transfer data between functions.\n",
+    "- Test your functions individually to ensure they work correctly.\n",
+    "\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

LAB-functions.ipynb

@@ -0,0 +1,113 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ac56d07d-40a2-43cb-a7bd-7f0627f9201a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please enter the quantity of tshirt:  20\n",
+      "Please enter the quantity of mug:  20\n",
+      "Please enter the quantity of hat:  20\n",
+      "Please enter the quantity of book:  20\n",
+      "Please enter the quantity of keychain:  20\n",
+      "Please enter the product that you would like to order:  tshirt\n",
+      "Would you like to add another product? Y/N Y\n",
+      "Please enter the product that you would like to order:  mug\n",
+      "Would you like to add another product? Y/N Y\n",
+      "Please enter the product that you would like to order:  book\n",
+      "Would you like to add another product? Y/N N\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 60.0)\n",
+      "{'tshirt': 19, 'mug': 19, 'hat': 20, 'book': 19, 'keychain': 20}\n"
+     ]
+    }
+   ],
+   "source": [
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "    for p in products:\n",
+    "        user_input1 = int(input(f\"Please enter the quantity of {p}: \"))\n",
+    "        inventory[p] = user_input1\n",
+    "    return inventory\n",
+    "\n",
+    "\n",
+    "def get_customer_orders():\n",
+    "    customer_order = set()\n",
+    "    user_input2 = input(\"Please enter the product that you would like to order: \")\n",
+    "    customer_order.add(user_input2)\n",
+    "    user_input3 = input(\"Would you like to add another product? Y/N\")\n",
+    "    while user_input3 == \"Y\":\n",
+    "        user_input2 = input(\"Please enter the product that you would like to order: \")\n",
+    "        customer_order.add(user_input2)\n",
+    "        user_input3 = input(\"Would you like to add another product? Y/N\")\n",
+    "    return customer_order\n",
+    "\n",
+    "\n",
+    "def calculate_order_statistics(customer_order, products):\n",
+    "    total_products_ordered = len(customer_order)\n",
+    "    percentage = (total_products_ordered / len(products)) * 100\n",
+    "    return total_products_ordered, percentage\n",
+    "\n",
+    "\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    total_products_ordered, percentage = order_statistics\n",
+    "    print (order_statistics)    \n",
+    "\n",
+    "\n",
+    "def print_updated_inventory(inventory):\n",
+    "    for i in customer_order:\n",
+    "        if i in inventory:\n",
+    "            inventory[i] = inventory[i]-1\n",
+    "    print(inventory)    \n",
+    "\n",
+    "\n",
+    "products = [\"tshirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "inventory=initialize_inventory(products)\n",
+    "customer_order=get_customer_orders()\n",
+    "order_statistics=calculate_order_statistics(customer_order, products)\n",
+    "print_order_statistics(order_statistics)\n",
+    "print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c3773a4-d956-49c2-90f5-6f782ac2f4f9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "pygments_lexer": "ipython3",
+   "version": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

lab-python-functions.ipynb

@@ -61,7 +61,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.10"
   }
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  "nbformat": 4,