diff --git a/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb new file mode 100644 index 00000000..87b82eaf --- /dev/null +++ b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb @@ -0,0 +1,201 @@ +{ + "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": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Inventory Setup ---\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity for t-shirt: 1\n", + "Enter quantity for mug: 1\n", + "Enter quantity for hat: 1\n", + "Enter quantity for book: 1\n", + "Enter quantity for keychain: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- Place Customer Order ---\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter product #1 to order: hat\n", + "Enter product #2 to order: book\n", + "Enter product #3 to order: mug\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Products ordered:\n", + "{'hat', 'mug', 'book'}\n", + "\n", + "Order Statistics:\n" + ] + }, + { + "ename": "TypeError", + "evalue": "can only concatenate str (not \"int\") to str", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 35\u001b[39m\n\u001b[32m 31\u001b[39m order_status = (total_products_ordered, percentage_ordered)\n\u001b[32m 32\u001b[39m \n\u001b[32m 33\u001b[39m \u001b[38;5;66;03m# Step 8: Print the order statistics using standard string concatenation\u001b[39;00m\n\u001b[32m 34\u001b[39m print(\u001b[33m\"\\nOrder Statistics:\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m35\u001b[39m print(\u001b[33m\"Total Products Ordered: \"\u001b[39m + order_status[\u001b[32m0\u001b[39m])\n\u001b[32m 36\u001b[39m print(\u001b[33m\"Percentage of Products Ordered: \"\u001b[39m + str(order_status[\u001b[32m1\u001b[39m]) + \u001b[33m\"%\"\u001b[39m)\n\u001b[32m 37\u001b[39m \n\u001b[32m 38\u001b[39m \u001b[38;5;66;03m# Step 9: Update the inventory by subtracting 1 from every item manually\u001b[39;00m\n", + "\u001b[31mTypeError\u001b[39m: can only concatenate str (not \"int\") to str" + ] + } + ], + "source": [ + "\n", + "# Step 1: list of products \n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "# Step 2:create an empty dictionary \n", + "inventory = {}\n", + "\n", + "# Step 3: ask the user for each product quantity and add it to the dictionary\n", + "print(\"____Inventory Setup ____\")\n", + "inventory[products[0]] = int(input(\"Enter quantity for \" + products[0] + \": \"))\n", + "inventory[products[1]] = int(input(\"Enter quantity for \" + products[1] + \": \"))\n", + "inventory[products[2]] = int(input(\"Enter quantity for \" + products[2] + \": \"))\n", + "inventory[products[3]] = int(input(\"Enter quantity for \" + products[3] + \": \"))\n", + "inventory[products[4]] = int(input(\"Enter quantity for \" + products[4] + \": \"))\n", + "\n", + "# Step 4: Create an empty set for customer orders\n", + "customer_orders = set()\n", + "\n", + "# Step 5: Asks user to input three products and add them to the set\n", + "print(\"\\n___ Place Customer Order ___\")\n", + "customer_orders.add(input(\"Enter product #1 to order: \"))\n", + "customer_orders.add(input(\"Enter product #2 to order: \"))\n", + "customer_orders.add(input(\"Enter product #3 to order: \"))\n", + "\n", + "# Step 6: Print the products in the customer_orders set\n", + "print(\"\\nProducts ordered:\")\n", + "print(customer_orders)\n", + "\n", + "# Step 7: Calculate order statistics and store them in a tuple\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", + "\n", + "# Step 8: Print the order statistics using standard string concatenation\n", + "print(\"\\nOrder Statistics:\")\n", + "print(\"Total Products Ordered: \" + str(order_status[0]))\n", + "print(\"Percentage of Products Ordered: \" + str(order_status[1]) + \"%\")\n", + "\n", + "# Step 9: Update the inventory by subtracting 1 from every item manually\n", + "inventory[products[0]] = inventory[products[0]] - 1\n", + "inventory[products[1]] = inventory[products[1]] - 1\n", + "inventory[products[2]] = inventory[products[2]] - 1\n", + "inventory[products[3]] = inventory[products[3]] - 1\n", + "inventory[products[4]] = inventory[products[4]] - 1\n", + "\n", + "# Step 10: Print the updated inventory on separate lines\n", + "print(\"\\nUpdated Inventory:\")\n", + "print(products[0] + \": \" + str(inventory[products[0]]))\n", + "print(products[1] + \": \" + str(inventory[products[1]]))\n", + "print(products[2] + \": \" + str(inventory[products[2]]))\n", + "print(products[3] + \": \" + str(inventory[products[3]]))\n", + "print(products[4] + \": \" + str(inventory[products[4]]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb index 5b3ce9e0..87b82eaf 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -50,6 +50,131 @@ "\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": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Inventory Setup ---\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity for t-shirt: 1\n", + "Enter quantity for mug: 1\n", + "Enter quantity for hat: 1\n", + "Enter quantity for book: 1\n", + "Enter quantity for keychain: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- Place Customer Order ---\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter product #1 to order: hat\n", + "Enter product #2 to order: book\n", + "Enter product #3 to order: mug\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Products ordered:\n", + "{'hat', 'mug', 'book'}\n", + "\n", + "Order Statistics:\n" + ] + }, + { + "ename": "TypeError", + "evalue": "can only concatenate str (not \"int\") to str", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 35\u001b[39m\n\u001b[32m 31\u001b[39m order_status = (total_products_ordered, percentage_ordered)\n\u001b[32m 32\u001b[39m \n\u001b[32m 33\u001b[39m \u001b[38;5;66;03m# Step 8: Print the order statistics using standard string concatenation\u001b[39;00m\n\u001b[32m 34\u001b[39m print(\u001b[33m\"\\nOrder Statistics:\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m35\u001b[39m print(\u001b[33m\"Total Products Ordered: \"\u001b[39m + order_status[\u001b[32m0\u001b[39m])\n\u001b[32m 36\u001b[39m print(\u001b[33m\"Percentage of Products Ordered: \"\u001b[39m + str(order_status[\u001b[32m1\u001b[39m]) + \u001b[33m\"%\"\u001b[39m)\n\u001b[32m 37\u001b[39m \n\u001b[32m 38\u001b[39m \u001b[38;5;66;03m# Step 9: Update the inventory by subtracting 1 from every item manually\u001b[39;00m\n", + "\u001b[31mTypeError\u001b[39m: can only concatenate str (not \"int\") to str" + ] + } + ], + "source": [ + "\n", + "# Step 1: list of products \n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "# Step 2:create an empty dictionary \n", + "inventory = {}\n", + "\n", + "# Step 3: ask the user for each product quantity and add it to the dictionary\n", + "print(\"____Inventory Setup ____\")\n", + "inventory[products[0]] = int(input(\"Enter quantity for \" + products[0] + \": \"))\n", + "inventory[products[1]] = int(input(\"Enter quantity for \" + products[1] + \": \"))\n", + "inventory[products[2]] = int(input(\"Enter quantity for \" + products[2] + \": \"))\n", + "inventory[products[3]] = int(input(\"Enter quantity for \" + products[3] + \": \"))\n", + "inventory[products[4]] = int(input(\"Enter quantity for \" + products[4] + \": \"))\n", + "\n", + "# Step 4: Create an empty set for customer orders\n", + "customer_orders = set()\n", + "\n", + "# Step 5: Asks user to input three products and add them to the set\n", + "print(\"\\n___ Place Customer Order ___\")\n", + "customer_orders.add(input(\"Enter product #1 to order: \"))\n", + "customer_orders.add(input(\"Enter product #2 to order: \"))\n", + "customer_orders.add(input(\"Enter product #3 to order: \"))\n", + "\n", + "# Step 6: Print the products in the customer_orders set\n", + "print(\"\\nProducts ordered:\")\n", + "print(customer_orders)\n", + "\n", + "# Step 7: Calculate order statistics and store them in a tuple\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", + "\n", + "# Step 8: Print the order statistics using standard string concatenation\n", + "print(\"\\nOrder Statistics:\")\n", + "print(\"Total Products Ordered: \" + str(order_status[0]))\n", + "print(\"Percentage of Products Ordered: \" + str(order_status[1]) + \"%\")\n", + "\n", + "# Step 9: Update the inventory by subtracting 1 from every item manually\n", + "inventory[products[0]] = inventory[products[0]] - 1\n", + "inventory[products[1]] = inventory[products[1]] - 1\n", + "inventory[products[2]] = inventory[products[2]] - 1\n", + "inventory[products[3]] = inventory[products[3]] - 1\n", + "inventory[products[4]] = inventory[products[4]] - 1\n", + "\n", + "# Step 10: Print the updated inventory on separate lines\n", + "print(\"\\nUpdated Inventory:\")\n", + "print(products[0] + \": \" + str(inventory[products[0]]))\n", + "print(products[1] + \": \" + str(inventory[products[1]]))\n", + "print(products[2] + \": \" + str(inventory[products[2]]))\n", + "print(products[3] + \": \" + str(inventory[products[3]]))\n", + "print(products[4] + \": \" + str(inventory[products[4]]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -68,7 +193,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.14.6" } }, "nbformat": 4,