From db57e142e5d7ab8bf806b616a2566419f347fe7d Mon Sep 17 00:00:00 2001 From: Joshua Oni Date: Sat, 19 Sep 2026 18:03:09 +0200 Subject: [PATCH] Solved lab --- lab-python-functions.ipynb | 318 +++++++++++++++++++++++++++++++++---- 1 file changed, 287 insertions(+), 31 deletions(-) diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..cc090a2 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -1,53 +1,309 @@ { "cells": [ { - "cell_type": "markdown", - "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e", + "cell_type": "code", + "execution_count": 14, + "id": "1eef9dfb", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n" + ] + } + ], "source": [ - "# Lab | Functions" + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "print(products)" ] }, { - "cell_type": "markdown", - "id": "0c581062-8967-4d93-b06e-62833222f930", - "metadata": { - "tags": [] - }, + "cell_type": "code", + "execution_count": 12, + "id": "214d37a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{}\n" + ] + } + ], "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", + "inventory = {}\n", + "print(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "dbdd893a", + "metadata": {}, + "outputs": [], + "source": [ + "def initialize_inventory(products):\n", + " 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", + " for product in products:\n", + " quantity = int(input(f\"Enter the quantity of {product}: \"))\n", + " inventory[product] = quantity\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", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82676f4c", + "metadata": {}, + "outputs": [], + "source": [ + "customer_orders = set()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "272c0c67", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "set()\n" + ] + } + ], + "source": [ + "print(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2d09090d", + "metadata": {}, + "outputs": [], + "source": [ + "customer_orders = set()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e6927b60", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set()\n", "\n", - "7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", + " while True:\n", + " product = input(\"Enter a product to order: \")\n", + " customer_orders.add(product)\n", + " add_another = input(\"Do you want to add another product? (yes/no): \")\n", "\n", - "Hints for functions:\n", + " if add_another.lower() != \"yes\":\n", + " break\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", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "996bce40", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'mug', 'hat', 'book'}\n" + ] + } + ], + "source": [ + "print(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5258135e", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " percentage_ordered = (total_products_ordered / len(products)) * 100\n", "\n", - "\n" + " return total_products_ordered, percentage_ordered" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7933d360", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(order_statistics):\n", + " print(\"Order Statistics:\")\n", + " print(f\"Total Products Ordered: {order_statistics[0]}\")\n", + " print(f\"Percentage of Products Ordered: {order_statistics[1]}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "e6a0dab9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "order_status[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "8c632478", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "60.0" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "order_status[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "269df459", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + " for product in customer_orders:\n", + " inventory[product] -= 1" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f68141b0", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "726556fb", + "metadata": {}, + "outputs": [], + "source": [ + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "b1bee755", + "metadata": {}, + "outputs": [], + "source": [ + "update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "041714c0", + "metadata": {}, + "outputs": [], + "source": [ + "order_statistics = calculate_order_statistics(customer_orders, products)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "1bd45071", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0%\n" + ] + } + ], + "source": [ + "print_order_statistics(order_statistics)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e52b1644", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated Inventory:\n", + "t-shirt: 10\n", + "mug: 14\n", + "hat: 19\n", + "book: 24\n", + "keychain: 30\n" + ] + } + ], + "source": [ + "print_updated_inventory(inventory)" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": ".venv (3.14.7.final.0)", "language": "python", "name": "python3" }, @@ -61,7 +317,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.14.7" } }, "nbformat": 4,