diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 00000000..5008ddfc Binary files /dev/null and b/.DS_Store differ 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..35e4eb96 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb @@ -0,0 +1,292 @@ +{ + "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": "markdown", + "metadata": {}, + "source": [ + "1:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "inventory = {}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "for product in products:\n", + " quantity = input(f\"Enter the quantity of '{product}' in stock:\")\n", + " inventory[product] = int(quantity)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "4:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "customer_order = set()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "5:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "while len(customer_order) < 3:\n", + " item = input(\"Enter the name of a product to order(t-shirt, mug, hat, book, keychain): \").strip()\n", + " if item in products:\n", + " customer_order.add(item)\n", + " else:\n", + " print(\"Sorry, we don't have that product. Please choose from the available products.(t-shirt, mug, hat, book, keychain)\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "6:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Your order contains: {'mug', 'hat', 'book'}\n" + ] + } + ], + "source": [ + "print(f\"Your order contains: {customer_order}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "7:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "total_products_ordered = len(customer_order)\n", + "total_inventory = len(inventory)\n", + "percentage_order = (total_products_ordered / total_inventory) * 100\n", + "order_status = (total_products_ordered, percentage_order)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "8:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order stattistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0%\n" + ] + } + ], + "source": [ + "print(f\"Order statistics:\\nTotal Products Ordered: {total_products_ordered}\\nPercentage of Products Ordered: {percentage_order}%\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "9:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'mug' has been shipped. Remaining stock: 1\n", + "'hat' has been shipped. Remaining stock: 1\n", + "'book' has been shipped. Remaining stock: 1\n" + ] + } + ], + "source": [ + "for product in customer_order:\n", + " if inventory[product] > 0:\n", + " inventory[product] -= 1\n", + " print(f\"'{product}' has been shipped. Remaining stock: {inventory[product]}\")\n", + " else:\n", + " print(f\"Sorry, '{product}' is out of stock and cannot be shipped.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "10:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt: 2\n", + "mug: 1\n", + "hat: 1\n", + "book: 1\n", + "keychain: 2\n" + ] + } + ], + "source": [ + "for product in products:\n", + " print(f\"{product}: {inventory[product]}\")" + ] + } + ], + "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": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb index 5b3ce9e0..63653e5e 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -50,11 +50,227 @@ "\n", "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. " ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "inventory = {}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "for product in products:\n", + " quantity = input(f\"Enter the quantity of '{product}' in stock:\")\n", + " inventory[product] = int(quantity)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "4:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "customer_order = set()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "5:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "while len(customer_order) < 3:\n", + " item = input(\"Enter the name of a product to order(t-shirt, mug, hat, book, keychain): \").strip()\n", + " if item in products:\n", + " customer_order.add(item)\n", + " else:\n", + " print(\"Sorry, we don't have that product. Please choose from the available products.(t-shirt, mug, hat, book, keychain)\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "6:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Your order contains: {'mug', 'hat', 'book'}\n" + ] + } + ], + "source": [ + "print(f\"Your order contains: {customer_order}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "7:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "total_products_ordered = len(customer_order)\n", + "total_inventory = len(inventory)\n", + "percentage_order = (total_products_ordered / total_inventory) * 100\n", + "order_status = (total_products_ordered, percentage_order)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "8:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order stattistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0%\n" + ] + } + ], + "source": [ + "print(f\"Order statistics:\\nTotal Products Ordered: {total_products_ordered}\\nPercentage of Products Ordered: {percentage_order}%\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "9:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'mug' has been shipped. Remaining stock: 1\n", + "'hat' has been shipped. Remaining stock: 1\n", + "'book' has been shipped. Remaining stock: 1\n" + ] + } + ], + "source": [ + "for product in customer_order:\n", + " if inventory[product] > 0:\n", + " inventory[product] -= 1\n", + " print(f\"'{product}' has been shipped. Remaining stock: {inventory[product]}\")\n", + " else:\n", + " print(f\"Sorry, '{product}' is out of stock and cannot be shipped.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "10:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt: 2\n", + "mug: 1\n", + "hat: 1\n", + "book: 1\n", + "keychain: 2\n" + ] + } + ], + "source": [ + "for product in products:\n", + " print(f\"{product}: {inventory[product]}\")" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "base", "language": "python", "name": "python3" }, @@ -68,7 +284,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.11.4" } }, "nbformat": 4,