From 73dd38f3708ca8b950899d18a5d46d5cd0d347c5 Mon Sep 17 00:00:00 2001 From: lionel mombo Date: Sat, 25 Oct 2025 12:48:13 +0200 Subject: [PATCH] lab functions done --- lab-python-functions.ipynb | 101 +++++++++++++++++++++++++++---------- 1 file changed, 75 insertions(+), 26 deletions(-) diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..fc19b0f 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -1,55 +1,104 @@ { "cells": [ { - "cell_type": "markdown", - "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e", + "cell_type": "code", + "execution_count": 1, + "id": "f8a58a14-62b1-469a-90c3-daf1e6384233", "metadata": {}, + "outputs": [], "source": [ - "# Lab | Functions" + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n" ] }, { - "cell_type": "markdown", - "id": "0c581062-8967-4d93-b06e-62833222f930", - "metadata": { - "tags": [] - }, + "cell_type": "code", + "execution_count": null, + "id": "077c47cf-d0ee-440d-a66f-5f689fec8b8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter the quantity of each product:\n" + ] + } + ], "source": [ - "## Exercise: Managing Customer Orders with Functions\n", + "def initialize_inventory(products):\n", + " inventory = {}\n", + " print(\"Enter the quantity of each product:\")\n", + " for product in products:\n", + " quantity = int(input(f\"Enter the quantity of {product}: \"))\n", + " inventory[product] = quantity\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", + " return inventory\n", "\n", - "Follow the steps below to complete the exercise:\n", + "def get_customer_orders():\n", + " customer_orders = set()\n", + " while True:\n", + " item = input(f\"Enter product you want to order ['t-shirt', 'mug', 'hat', 'book', 'keychain']: \")\n", + " while item not in products:\n", + " item = input(\"❌Invalid product.Please choose from this list ['t-shirt', 'mug', 'hat', 'book', 'keychain']:\")\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", + " customer_orders.add(item)\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", + " another = input(\"Do you want to order another product? (yes/no): \")\n", + " if another != \"yes\":\n", + " break\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", + " return 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", + "def update_inventory(inventory, customer_orders):\n", + " for item in customer_orders:\n", + " if inventory[item] > 0:\n", + " inventory[item] -= 1\n", + " else:\n", + " print(f\"The product {item} is not available in the inventory.\")\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", + " return inventory\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", + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " percentage_ordered = total_products_ordered / len(products) * 100\n", + " order_status = (total_products_ordered, percentage_ordered)\n", + " # return total_products_ordered, percentage_ordered\n", + " return order_status\n", "\n", - "7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", + "def print_order_statistics(order_statistics):\n", + " print(\"Order Statistics:\")\n", + " print(\"Total Products Ordered:\", order_statistics[0])\n", + " print(\"Percentage of Products Ordered:\", order_statistics[1], \"%\")\n", "\n", - "Hints for functions:\n", + "def print_updated_inventory(inventory):\n", + " print(\"Inventory after order:\")\n", + " for item in inventory:\n", + " print(item, inventory[item])\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" + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "inventory = update_inventory(inventory, customer_orders)\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory(inventory)\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f4c1505-d580-4846-a1cf-45e9e10b013b", + "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 +110,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4,