diff --git a/lab-python-data-structures-CLEAN.ipynb b/lab-python-data-structures-CLEAN.ipynb new file mode 100644 index 00000000..00c7e312 --- /dev/null +++ b/lab-python-data-structures-CLEAN.ipynb @@ -0,0 +1,374 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "12e921a2", + "metadata": {}, + "source": [ + "# Lab | Data Structures \n", + "## Exercise: Managing Customer Orders\n", + "\n", + "As part of a business venture, you are starting an online store that sells various products. To ensure smooth operations, you need to develop a program that manages customer orders and inventory.\n", + "\n", + "Follow the steps below to complete the exercise:" + ] + }, + { + "cell_type": "markdown", + "id": "68c616b4", + "metadata": {}, + "source": [ + "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "88dceb12", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n" + ] + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "print(products)" + ] + }, + { + "cell_type": "markdown", + "id": "82bb9daf", + "metadata": {}, + "source": [ + "2. Create an empty dictionary called `inventory`." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "523aac4d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{}\n" + ] + } + ], + "source": [ + "inventory = {}\n", + "print(inventory)" + ] + }, + { + "cell_type": "markdown", + "id": "9377e346", + "metadata": {}, + "source": [ + "3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "730d595d", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "¿Cuántos 't-shirt' hay en inventario? 10\n", + "¿Cuántos 'mug' hay en inventario? 8\n", + "¿Cuántos 'hat' hay en inventario? 7\n", + "¿Cuántos 'book' hay en inventario? 5\n", + "¿Cuántos 'keychain' hay en inventario? 8\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 10, 'mug': 8, 'hat': 7, 'book': 5, 'keychain': 8}\n" + ] + } + ], + "source": [ + "for product in products:\n", + " quantity = int(input(f\"How many '{product}' are available in inventory? \"))\n", + " inventory[product] = quantity\n", + "\n", + "print(inventory)" + ] + }, + { + "cell_type": "markdown", + "id": "5f1d5563", + "metadata": {}, + "source": [ + "4. Create an empty set called `customer_orders`." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7f4a92ed", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "set()\n" + ] + } + ], + "source": [ + "customer_orders = set()\n", + "print(customer_orders)" + ] + }, + { + "cell_type": "markdown", + "id": "e223325c", + "metadata": {}, + "source": [ + "5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6db1e015", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the name of product #1 the customer wants to order: mug\n", + "Enter the name of product #2 the customer wants to order: book\n", + "Enter the name of product #3 the customer wants to order: hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'book', 'hat', 'mug'}\n" + ] + } + ], + "source": [ + "for i in range(3):\n", + " product = input(f\"Enter the name of product #{i+1} the customer wants to order: \").lower()\n", + " if product in products:\n", + " customer_orders.add(product)\n", + " else:\n", + " print(f\"'{product}' is not a valid product.\")\n", + "\n", + "print(customer_orders)" + ] + }, + { + "cell_type": "markdown", + "id": "dabde211", + "metadata": {}, + "source": [ + "6. Print the products in the `customer_orders` set." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "413021e4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'book', 'hat', 'mug'}\n" + ] + } + ], + "source": [ + "print(customer_orders)\n" + ] + }, + { + "cell_type": "markdown", + "id": "9c4a20a3", + "metadata": {}, + "source": [ + "7. Calculate the following order statistics:\n", + " - Total Products Ordered: The total number of products in the `customer_orders` set.\n", + " - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + " \n", + " Store these statistics in a tuple called `order_status`." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1804647b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(3, 60.0)\n" + ] + } + ], + "source": [ + "total_ordered = len(customer_orders)\n", + "total_available = len(products)\n", + "percentage_ordered = (total_ordered / total_available) * 100\n", + "\n", + "order_status = (total_ordered, percentage_ordered)\n", + "\n", + "print(order_status)\n" + ] + }, + { + "cell_type": "markdown", + "id": "85f9feda", + "metadata": {}, + "source": [ + "8. Print the order statistics using the following format:\n", + " ```\n", + " Order Statistics:\n", + " Total Products Ordered: \n", + " Percentage of Products Ordered: % \n", + " ```" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8b9ac871", + "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:\")\n", + "print(f\"Total Products Ordered: {order_status[0]}\")\n", + "print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "74b60e9a", + "metadata": {}, + "source": [ + "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c7d8bcc9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 10, 'mug': 7, 'hat': 6, 'book': 4, 'keychain': 8}\n" + ] + } + ], + "source": [ + "for product in customer_orders:\n", + " if inventory[product] > 0:\n", + " inventory[product] -= 1\n", + " else:\n", + " print(f\"{product} is out of stock!\")\n", + "\n", + "print(inventory)\n" + ] + }, + { + "cell_type": "markdown", + "id": "6539c3be", + "metadata": {}, + "source": [ + "10. Print the updated inventory, displaying the quantity of each product on separate lines.\n", + "\n", + "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b8fbbcf8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated Inventory:\n", + "t-shirt: 10\n", + "mug: 7\n", + "hat: 6\n", + "book: 4\n", + "keychain: 8\n" + ] + } + ], + "source": [ + "print(\"Updated Inventory:\")\n", + "for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "342212ab-99df-4436-adaa-a4a1eb12ad4c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:base] *", + "language": "python", + "name": "conda-base-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}