diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb index 5b3ce9e0..9017713c 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -1,62 +1,263 @@ { "cells": [ { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, + "cell_type": "code", + "execution_count": 1, + "id": "233b272f-a88d-49fe-baa7-d2d024d97c07", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['t-shirt', 'mug', 'hat', 'book', 'keychain']" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\" , \"hat\" , \"book\" , \"keychain\"]\n", + "products" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "fb080810-bb49-49d5-b795-6144e8968c99", + "metadata": {}, + "outputs": [], + "source": [ + "inventory = {}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b793076d-d9de-4fdf-9ef1-d6f6e0d50197", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 10\n", + "Enter the quantity for mug: 20\n", + "Enter the quantity for hat: 40\n", + "Enter the quantity for book: 18\n", + "Enter the quantity for keychain: 88\n" + ] + } + ], + "source": [ + "for product in products:\n", + " quantity = int(input(f\"Enter the quantity for {product}: \"))\n", + " inventory[product] = quantity" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4ccce103-c989-4846-987d-64035ab91373", + "metadata": {}, + "outputs": [], + "source": [ + "customer_orders = set()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ea127f4f-ab74-4822-8d72-1b3694d0ccc4", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the name of a productyou want to order: mug\n", + "Enter the name of a productyou want to order: book\n", + "Enter the name of a productyou want to order: keychain\n" + ] + } + ], + "source": [ + "for k in range(3):\n", + " order = input(\"Enter the name of a productyou want to order: \")\n", + " customer_orders.add(order)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "09deeb9b-19e1-4db0-989b-0299a730e95d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Products in Customer Orders: {'keychain', 'mug', 'book'}\n" + ] + } + ], + "source": [ + "print(\"\\nProducts in Customer Orders:\", customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ace4986d-ae42-4140-a1b7-ef4ecdaf93dc", + "metadata": {}, + "outputs": [], + "source": [ + "total_products_ordered = len(customer_orders)\n", + "percentage_products_ordered = (total_products_ordered / len(products))* 100\n", + "order_status = (total_products_ordered, percentage_products_ordered)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "66d00454-8841-42ff-8e2d-e5be089c428a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage Products Ordered: 60.0%\n" + ] + } + ], + "source": [ + "print(\"\\nOrder Statistics:\")\n", + "print(f\"Total Products Ordered: {order_status[0]}\")\n", + "print(f\"Percentage Products Ordered: {order_status[1]}%\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0102ef7b-1bda-4339-ba23-15eec4b0afa3", + "metadata": {}, + "outputs": [], + "source": [ + "for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product] -= 1" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e1c8e5b0-6eec-4e22-bbe9-6da1f1d365af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Updated Inventory:\n", + "t-shirt: 10\n", + "mug: 19\n", + "hat: 40\n", + "book: 17\n", + "keychain: 87\n" + ] + } + ], + "source": [ + "print(\"\\nUpdated Inventory:\")\n", + "for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "90f9db31-e8b9-4761-a98e-8c162f5205c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "CompletedProcess(args=['git', 'add', 'lab-python-data-structures.ipynb'], returncode=0)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Lab | Data Structures " + "import subprocess\n", + "subprocess.run([\"git\", \"add\", \"lab-python-data-structures.ipynb\"])" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 21, + "id": "c1aacb6d-d94f-4c82-bff9-8d4943f11106", "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "CompletedProcess(args=['git', 'commit', '-m', 'Completed all exercised'], returncode=0)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "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. " + "subprocess.run([\"git\", \"commit\", \"-m\", \"Completed all exercised\"])" ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "75689911-024c-4114-b402-1cec2dd2693e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "CompletedProcess(args=['git', 'push', 'origin', 'main'], returncode=1)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "subprocess.run([\"git\", \"push\", \"origin\", \"main\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "289efc73-3a4f-4102-a824-1f0020c04fe8", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python [conda env:base] *", "language": "python", - "name": "python3" + "name": "conda-base-py" }, "language_info": { "codemirror_mode": { @@ -68,9 +269,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 }