diff --git a/lab-python-data-structures (1).ipynb b/lab-python-data-structures (1).ipynb new file mode 100644 index 00000000..9d105e1b --- /dev/null +++ b/lab-python-data-structures (1).ipynb @@ -0,0 +1,155 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "# Lab | Data Structures " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 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:\n", + "\n", + "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n", + "\n", + "2. Create an empty dictionary called `inventory`.\n", + "\n", + "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.\n", + "\n", + "4. Create an empty set called `customer_orders`.\n", + "\n", + "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.\n", + "\n", + "6. Print the products in the `customer_orders` set.\n", + "\n", + "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`.\n", + "\n", + "8. Print the order statistics using the following format:\n", + " ```\n", + " Order Statistics:\n", + " Total Products Ordered: \n", + " Percentage of Products Ordered: % \n", + " ```\n", + "\n", + "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n", + "\n", + "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": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Add amount for hat: 3\n", + "Add amount for t-shirt: 4\n", + "Add amount for mug: 6\n", + "Add amount for book: 8\n", + "Add amount for keychain: 4\n", + "Enter a selected item: book\n", + "Enter a selected item: mug\n", + "Enter a selected item: hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "customer_orders: {'book', 'mug', 'hat'}\n", + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0%\n", + "Updated Inventory:\n", + "hat: 2\n", + "t-shirt: 4\n", + "mug: 5\n", + "book: 7\n", + "keychain: 4\n" + ] + } + ], + "source": [ + "# Create a list called 'products' to store product names as strings inside of [].\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\",]\n", + "# Create an empty dictionary{} called 'inventory' to hold the product names(key) and the quantity(value).\n", + "inventory = {}\n", + "# Using int() before input() to ask the user to add an amount to the items and convert the answer into an integer. \n", + "inventory[\"hat\"] = int(input(\"Add an amount for hat: \"))\n", + "inventory[\"t-shirt\"] = int(input(\"Add an amount for t-shirt: \"))\n", + "inventory[\"mug\"] = int(input(\"Add an amount for mug: \"))\n", + "inventory[\"book\"] = int(input(\"Add an amount for book: \"))\n", + "inventory[\"keychain\"] = int(input(\"Add an amount for keychain: \"))\n", + "# Create an empty set() called customer_orders.\n", + "customer_orders = set()\n", + "# Use .add() to ask the user to input() 3 items to the set.\n", + "customer_orders.add(input(\"Enter a selected item: \"))\n", + "customer_orders.add(input(\"Enter a selected item: \"))\n", + "customer_orders.add(input(\"Enter a selected item: \"))\n", + "# Use print() to display results.\n", + "print(\"customer_orders: \", customer_orders)\n", + "# Calculate total number using len() and percentage using * 100 of products ordered to get the percentage.\n", + "total_ordered = len(customer_orders)\n", + "percentage_ordered = (total_ordered / len(products)) * 100 \n", + "# Store answers in a tuple() called order_status.\n", + "order_status = (total_ordered, percentage_ordered)\n", + "# Use print to display results.\n", + "print(\"Order Statistics:\")\n", + "print(\"Total Products Ordered:\", order_status[0])\n", + "print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n", + "# Use -= to subtract from the inventory by 1 from each item in customer_orders based on its boolean value(True/False).\n", + "inventory[\"hat\"] -= (\"hat\" in customer_orders) \n", + "inventory[\"t-shirt\"] -= (\"t-shirt\" in customer_orders)\n", + "inventory[\"mug\"] -= (\"mug\" in customer_orders)\n", + "inventory[\"book\"] -= (\"book\" in customer_orders)\n", + "inventory[\"keychain\"] -= (\"keychain\" in customer_orders)\n", + "# Use print to display the updated inventory on separate lines.\n", + "print(\"Updated Inventory:\")\n", + "print(\"hat:\", inventory[\"hat\"])\n", + "print(\"t-shirt:\", inventory[\"t-shirt\"])\n", + "print(\"mug:\", inventory[\"mug\"])\n", + "print(\"book:\", inventory[\"book\"])\n", + "print(\"keychain:\", inventory[\"keychain\"])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "anaconda-2025.12-py312", + "language": "python", + "name": "conda-env-anaconda-2025.12-py312-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": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}