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..d11d7b15 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb @@ -0,0 +1,307 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "# Lab | Data Structures " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "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": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "how many t-shirt are available in the store 3\n", + "how many mug are available in the store 4\n", + "how many hat are available in the store 6\n", + "how many book are available in the store 7\n", + "how many keychain are available in the store 8\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 3, 'mug': 4, 'hat': 6, 'book': 7, 'keychain': 8}\n" + ] + } + ], + "source": [ + "# 1. Define a list called products that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n", + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "#2. Create an empty dictionary called inventory.\n", + "\n", + "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", + "for item in products:\n", + " quantity = int(input (f\"how many {item} are available in the store\"))\n", + " inventory[item] = quantity\n", + " \n", + "print(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "name three of the products: book\n", + "name three of the products: mug\n", + "name three of the products: hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'mug', 'book', 'hat'}\n" + ] + } + ], + "source": [ + "# 4. Create an empty set called `customer_orders`.\n", + "\n", + "customer_orders = set()\n", + "\n", + "# 5. Ask the user to input the names 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", + "for i in range(3):\n", + " order = input(\"name three of the products:\")\n", + " customer_orders.add(order)\n", + "\n", + "# 6. Print the products in the `customer_orders` set.\n", + "\n", + "print(customer_orders)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n" + ] + } + ], + "source": [ + "# 7. Calculate the following order statistics:\n", + " # Total Products Ordered: The total number of products in the `customer_orders` set.\n", + "\n", + "total_products_order = len(customer_orders)\n", + "print(total_products_order)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60.0\n" + ] + } + ], + "source": [ + "# Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + "\n", + "percentage_products_order = (len(customer_orders) / len(products))*100\n", + "print(percentage_products_order)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(3, 60.0)\n" + ] + } + ], + "source": [ + "# Store these statistics in a tuple called `order_status`.\n", + "\n", + "order_status = (total_products_order, percentage_products_order)\n", + "print(order_status)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0 %\n" + ] + } + ], + "source": [ + "# 8. Print the order statistics using the following format:\n", + "\n", + "print (\"Order Statistics:\")\n", + "print(\"Total Products Ordered:\", total_products_order)\n", + "print(\"Percentage of Products Ordered:\", percentage_products_order, \"%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 3, 'mug': 3, 'hat': 5, 'book': 6, 'keychain': 8}\n" + ] + } + ], + "source": [ + "# 9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly\n", + "\n", + "for product in customer_orders:\n", + " inventory[product] -= 1\n", + "\n", + "print(inventory)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt: 3\n", + "mug: 3\n", + "hat: 5\n", + "book: 6\n", + "keychain: 8\n" + ] + } + ], + "source": [ + "for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "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..7ce76a15 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -9,6 +9,13 @@ "# Lab | Data Structures " ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -50,6 +57,223 @@ "\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": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "how many t-shirt are available in the store 3\n", + "how many mug are available in the store 4\n", + "how many hat are available in the store 6\n", + "how many book are available in the store 7\n", + "how many keychain are available in the store 8\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 3, 'mug': 4, 'hat': 6, 'book': 7, 'keychain': 8}\n" + ] + } + ], + "source": [ + "# 1. Define a list called products that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n", + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "#2. Create an empty dictionary called inventory.\n", + "\n", + "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", + "for item in products:\n", + " quantity = int(input (f\"how many {item} are available in the store\"))\n", + " inventory[item] = quantity\n", + " \n", + "print(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "name three of the products: book\n", + "name three of the products: mug\n", + "name three of the products: hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'mug', 'book', 'hat'}\n" + ] + } + ], + "source": [ + "# 4. Create an empty set called `customer_orders`.\n", + "\n", + "customer_orders = set()\n", + "\n", + "# 5. Ask the user to input the names 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", + "for i in range(3):\n", + " order = input(\"name three of the products:\")\n", + " customer_orders.add(order)\n", + "\n", + "# 6. Print the products in the `customer_orders` set.\n", + "\n", + "print(customer_orders)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n" + ] + } + ], + "source": [ + "# 7. Calculate the following order statistics:\n", + " # Total Products Ordered: The total number of products in the `customer_orders` set.\n", + "\n", + "total_products_order = len(customer_orders)\n", + "print(total_products_order)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60.0\n" + ] + } + ], + "source": [ + "# Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + "\n", + "percentage_products_order = (len(customer_orders) / len(products))*100\n", + "print(percentage_products_order)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(3, 60.0)\n" + ] + } + ], + "source": [ + "# Store these statistics in a tuple called `order_status`.\n", + "\n", + "order_status = (total_products_order, percentage_products_order)\n", + "print(order_status)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0 %\n" + ] + } + ], + "source": [ + "# 8. Print the order statistics using the following format:\n", + "\n", + "print (\"Order Statistics:\")\n", + "print(\"Total Products Ordered:\", total_products_order)\n", + "print(\"Percentage of Products Ordered:\", percentage_products_order, \"%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 3, 'mug': 3, 'hat': 5, 'book': 6, 'keychain': 8}\n" + ] + } + ], + "source": [ + "# 9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly\n", + "\n", + "for product in customer_orders:\n", + " inventory[product] -= 1\n", + "\n", + "print(inventory)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt: 3\n", + "mug: 3\n", + "hat: 5\n", + "book: 6\n", + "keychain: 8\n" + ] + } + ], + "source": [ + "for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -68,7 +292,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.14.6" } }, "nbformat": 4,