From c9c691865e3a8d08bc5aa91d707a95ca339cb1b3 Mon Sep 17 00:00:00 2001 From: Marta Date: Sat, 29 Nov 2025 18:35:05 +0100 Subject: [PATCH] lab completed --- .../lab-python-functions-checkpoint.ipynb | 205 ++++++++++++++++++ lab-python-functions.ipynb | 138 +++++++++++- 2 files changed, 342 insertions(+), 1 deletion(-) create mode 100644 .ipynb_checkpoints/lab-python-functions-checkpoint.ipynb diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..334871e --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,205 @@ +{ + "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" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df38dc20-20f2-4fa5-a38a-836e1e9e9176", + "metadata": {}, + "outputs": [], + "source": [ + "# Lista de todos los productos que vende la tienda\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "# El inventario y los pedidos se crearán y gestionarán dentro de las funciones.\n", + "print(\"Productos disponibles:\", products)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b46ee707-e231-47fd-8a0c-de34976197f8", + "metadata": {}, + "outputs": [], + "source": [ + "def initialize_inventory (products):\n", + " inventory = {}\n", + " for product in products:\n", + " user_input = input('Please enter a quantity of a product:')\n", + " quantity = int(user_input)\n", + " inventory[product] = quantity\n", + " return inventory\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a2bd73f0-920a-41d5-ad20-07a8f854a1a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders ():\n", + " customer_orders = set()\n", + " adding_products = 'yes'\n", + " while adding_products == 'yes':\n", + " user_input = input('Please enter a product:')\n", + " customer_orders.add(user_input)\n", + " user_input_2 = input('Would you like to add another product?:').lower()\n", + " adding_products = user_input_2\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6420f9db-6e43-42b1-b6dd-9dbcaf7cc262", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory (customer_orders, inventory):\n", + " for product in customer_orders:\n", + " inventory[product] -= 1\n", + " return inventory\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "952396a5-461c-4aa5-9b09-4894a4d192ff", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " \n", + " total_products_ordered = len(customer_orders)\n", + " \n", + " total_available_products = len(products)\n", + " \n", + " percentage_unique_ordered = (total_products_ordered / total_available_products) * 100\n", + " # Retorna la tupla con las dos métricas\n", + " return total_products_ordered, percentage_unique_ordered\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e861333b-09ab-402e-a70a-2168dbec29bc", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics (order_statistics):\n", + " total_products_ordered, percentage_unique_ordered = order_statistics\n", + " print(f'These are the total products ordered: {total_products_ordered}')\n", + " print(f'This is the percentage of unique products: {percentage_unique_ordered}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b91b530b-716a-43be-bb37-e882ca8545c6", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory (inventory):\n", + " print(f'This is the inventory updated:{inventory}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42fb10af-7aff-45a0-8496-c2dd0472fada", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] \n", + "\n", + "current_inventory = initialize_inventory(products)\n", + "\n", + "customer_orders_set = get_customer_orders()\n", + "\n", + "updated_inventory = update_inventory(customer_orders_set, current_inventory)\n", + "\n", + "order_stats = calculate_order_statistics(customer_orders_set, products)\n", + "\n", + "print_order_statistics(order_stats)\n", + "\n", + "print_updated_inventory(updated_inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "815882ca-2eb1-43c2-be2a-dbe9ec7f90e5", + "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", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..334871e 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,6 +43,142 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df38dc20-20f2-4fa5-a38a-836e1e9e9176", + "metadata": {}, + "outputs": [], + "source": [ + "# Lista de todos los productos que vende la tienda\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "# El inventario y los pedidos se crearán y gestionarán dentro de las funciones.\n", + "print(\"Productos disponibles:\", products)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b46ee707-e231-47fd-8a0c-de34976197f8", + "metadata": {}, + "outputs": [], + "source": [ + "def initialize_inventory (products):\n", + " inventory = {}\n", + " for product in products:\n", + " user_input = input('Please enter a quantity of a product:')\n", + " quantity = int(user_input)\n", + " inventory[product] = quantity\n", + " return inventory\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a2bd73f0-920a-41d5-ad20-07a8f854a1a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders ():\n", + " customer_orders = set()\n", + " adding_products = 'yes'\n", + " while adding_products == 'yes':\n", + " user_input = input('Please enter a product:')\n", + " customer_orders.add(user_input)\n", + " user_input_2 = input('Would you like to add another product?:').lower()\n", + " adding_products = user_input_2\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6420f9db-6e43-42b1-b6dd-9dbcaf7cc262", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory (customer_orders, inventory):\n", + " for product in customer_orders:\n", + " inventory[product] -= 1\n", + " return inventory\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "952396a5-461c-4aa5-9b09-4894a4d192ff", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " \n", + " total_products_ordered = len(customer_orders)\n", + " \n", + " total_available_products = len(products)\n", + " \n", + " percentage_unique_ordered = (total_products_ordered / total_available_products) * 100\n", + " # Retorna la tupla con las dos métricas\n", + " return total_products_ordered, percentage_unique_ordered\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e861333b-09ab-402e-a70a-2168dbec29bc", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics (order_statistics):\n", + " total_products_ordered, percentage_unique_ordered = order_statistics\n", + " print(f'These are the total products ordered: {total_products_ordered}')\n", + " print(f'This is the percentage of unique products: {percentage_unique_ordered}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b91b530b-716a-43be-bb37-e882ca8545c6", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory (inventory):\n", + " print(f'This is the inventory updated:{inventory}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42fb10af-7aff-45a0-8496-c2dd0472fada", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] \n", + "\n", + "current_inventory = initialize_inventory(products)\n", + "\n", + "customer_orders_set = get_customer_orders()\n", + "\n", + "updated_inventory = update_inventory(customer_orders_set, current_inventory)\n", + "\n", + "order_stats = calculate_order_statistics(customer_orders_set, products)\n", + "\n", + "print_order_statistics(order_stats)\n", + "\n", + "print_updated_inventory(updated_inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "815882ca-2eb1-43c2-be2a-dbe9ec7f90e5", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -61,7 +197,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,