diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..6328735 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,377 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e", + "metadata": {}, + "source": [ + "# Lab | Functions" + ] + }, + { + "cell_type": "markdown", + "id": "0c581062-8967-4d93-b06e-62833222f930", + "metadata": { + "tags": [] + }, + "source": [ + "## Exercise: Managing Customer Orders with Functions\n", + "\n", + "In the previous exercise, you improved the code for managing customer orders by using loops and flow control. Now, let's take it a step further and refactor the code by introducing functions.\n", + "\n", + "Follow the steps below to complete the exercise:\n", + "\n", + "1. Define a function named `initialize_inventory` that takes `products` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n", + "\n", + "3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", + "\n", + "4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n", + "\n", + "5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. Inside the function, implement the code for printing the order statistics.\n", + "\n", + "6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory.\n", + "\n", + "7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", + "\n", + "Hints for functions:\n", + "\n", + "- Consider the input parameters required for each function and their return values.\n", + "- Utilize function parameters and return values to transfer data between functions.\n", + "- Test your functions individually to ensure they work correctly.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "c534f7f9-e1ef-45f5-8cfe-ae87a3b54685", + "metadata": {}, + "source": [ + "1. Define a function named initialize_inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9e5c4ef8-92eb-4963-97c1-ff16ac61a4de", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "def initialize_inventory(products):\n", + " inventory_dictionary = {}\n", + " \n", + " for product in products: # estou a percorrer a lista de produtos\n", + " quantity = int(input(f\"Enter the quantity for {product}: \"))\n", + " inventory_dictionary[product] = quantity\n", + " \n", + " return inventory_dictionary" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5bbeb9f5-8dc4-44ab-9727-1f63fb33c05b", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 45\n", + "Enter the quantity for mug: 23\n", + "Enter the quantity for hat: 9\n", + "Enter the quantity for book: 21\n", + "Enter the quantity for keychain: 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 45, 'mug': 23, 'hat': 9, 'book': 21, 'keychain': 4}\n" + ] + } + ], + "source": [ + "inventory_dictionary = initialize_inventory(products)\n", + "print(inventory_dictionary)" + ] + }, + { + "cell_type": "markdown", + "id": "ce9857b7-0aa2-4805-b04d-2a81867f49c1", + "metadata": {}, + "source": [ + "2. Define a function named get_customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "e3feaac9-6d0c-4db1-abf7-79efdf6cf5a4", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "65445c73-7c54-426b-bc7f-78dc56b23131", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set()\n", + "\n", + " asking_order = \"yes\"\n", + "\n", + " while asking_order == \"yes\":\n", + " asking_order = (input(\"Enter your order: \"))\n", + " customer_orders.add(asking_order)\n", + "\n", + " asking_order = input(\"Do you want to enter place another order? (yes/no): \").lower()\n", + " \n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "6264323b-d17a-4bb7-a467-c5b2e20167e0", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter your order: keychain\n", + "Do you want to enter place another order? (yes/no): yes\n", + "Enter your order: book\n", + "Do you want to enter place another order? (yes/no): no\n" + ] + }, + { + "data": { + "text/plain": [ + "{'book', 'keychain'}" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_customer_orders()" + ] + }, + { + "cell_type": "markdown", + "id": "29ea79af-1543-46fe-8ff4-ffb29a746da9", + "metadata": {}, + "source": [ + "3. Define a function named update_inventory that takes customer_orders and inventory as parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "752e79c4-d2e5-48b7-b417-80f89ef3cfad", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + "\n", + " for order in customer_orders:\n", + "\n", + " if order not in inventory: \n", + " print(f\"The product doesn't exist\")\n", + "\n", + " else:\n", + " inventory[order] = inventory[order] - 1\n", + " \n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "a616b660-e66f-43cd-8411-3c73574d6a7e", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 45\n", + "Enter the quantity for mug: 67\n", + "Enter the quantity for hat: 32\n", + "Enter the quantity for book: 45\n", + "Enter the quantity for keychain: 90\n", + "Enter your order: keychain\n", + "Do you want to enter place another order? (yes/no): no\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 45, 'mug': 67, 'hat': 32, 'book': 45, 'keychain': 89}" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "markdown", + "id": "75413ff4-21d7-4e4f-8588-c4b2ff683f4a", + "metadata": {}, + "source": [ + "4. Define a function named calculate_order_statistics that takes customer_orders and products as parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "b0e1f84d-4529-47f9-807c-7e66a66f9f4b", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders) # put sum(customer_orders) before but as a set of strings it can not be calculated\n", + "\n", + " percentage_unique_products = (len(customer_orders) / len(products)) * 100 #(quantidade produto ordered / quantidade total do produto) * 100\n", + "\n", + " return total_products_ordered, percentage_unique_products" + ] + }, + { + "cell_type": "markdown", + "id": "9e316eec-e41c-466b-afa9-e11402210f5e", + "metadata": {}, + "source": [ + "5. Define a function named print_order_statistics that takes order_statistics as a parameter." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "29776d40-1bac-4c9f-8512-be6c11b44298", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(orders_statistics):\n", + "\n", + " total_products_ordered, percentage_unique_products = order_statistics # tuple for example (5, 30) = order_statistics\n", + "\n", + " print(f\"The total of products ordered is: {total_products_ordered}\")\n", + " print(f\"The percentage of unique products ordered is: {percentage_unique_products}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e794a8fc-45ac-4f53-ab22-d1e97a171483", + "metadata": {}, + "source": [ + "6. Define a function named print_updated_inventory that takes inventory as a parameter." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "0e788f6d-9079-43ec-a90c-bbeca42d0758", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " \n", + " print(f\"The updated inventory is: {inventory}\")" + ] + }, + { + "cell_type": "markdown", + "id": "3cfc5804-f755-433b-bb6e-8812b4b8d6c9", + "metadata": {}, + "source": [ + "7. Call the functions in the appropriate sequence to execute the program and manage customer orders." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "345b4a99-3e61-4c6a-839b-2af5d0dcef7b", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 45\n", + "Enter the quantity for mug: 23\n", + "Enter the quantity for hat: 9\n", + "Enter the quantity for book: 21\n", + "Enter the quantity for keychain: 4\n", + "Enter your order: t-shirt\n", + "Do you want to enter place another order? (yes/no): yes\n", + "Enter your order: book\n", + "Do you want to enter place another order? (yes/no): no\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The total of products ordered is: 2\n", + "The percentage of unique products ordered is: 40.0\n", + "The updated inventory is: {'t-shirt': 44, 'mug': 23, 'hat': 9, 'book': 20, 'keychain': 4}\n" + ] + } + ], + "source": [ + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "\n", + "updated_inventory = update_inventory(customer_orders, inventory)\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory(updated_inventory)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:anaconda3]", + "language": "python", + "name": "conda-env-anaconda3-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": "3.13.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..6328735 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,321 @@ "\n", "\n" ] + }, + { + "cell_type": "markdown", + "id": "c534f7f9-e1ef-45f5-8cfe-ae87a3b54685", + "metadata": {}, + "source": [ + "1. Define a function named initialize_inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9e5c4ef8-92eb-4963-97c1-ff16ac61a4de", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "def initialize_inventory(products):\n", + " inventory_dictionary = {}\n", + " \n", + " for product in products: # estou a percorrer a lista de produtos\n", + " quantity = int(input(f\"Enter the quantity for {product}: \"))\n", + " inventory_dictionary[product] = quantity\n", + " \n", + " return inventory_dictionary" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5bbeb9f5-8dc4-44ab-9727-1f63fb33c05b", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 45\n", + "Enter the quantity for mug: 23\n", + "Enter the quantity for hat: 9\n", + "Enter the quantity for book: 21\n", + "Enter the quantity for keychain: 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 45, 'mug': 23, 'hat': 9, 'book': 21, 'keychain': 4}\n" + ] + } + ], + "source": [ + "inventory_dictionary = initialize_inventory(products)\n", + "print(inventory_dictionary)" + ] + }, + { + "cell_type": "markdown", + "id": "ce9857b7-0aa2-4805-b04d-2a81867f49c1", + "metadata": {}, + "source": [ + "2. Define a function named get_customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "e3feaac9-6d0c-4db1-abf7-79efdf6cf5a4", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "65445c73-7c54-426b-bc7f-78dc56b23131", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set()\n", + "\n", + " asking_order = \"yes\"\n", + "\n", + " while asking_order == \"yes\":\n", + " asking_order = (input(\"Enter your order: \"))\n", + " customer_orders.add(asking_order)\n", + "\n", + " asking_order = input(\"Do you want to enter place another order? (yes/no): \").lower()\n", + " \n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "6264323b-d17a-4bb7-a467-c5b2e20167e0", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter your order: keychain\n", + "Do you want to enter place another order? (yes/no): yes\n", + "Enter your order: book\n", + "Do you want to enter place another order? (yes/no): no\n" + ] + }, + { + "data": { + "text/plain": [ + "{'book', 'keychain'}" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_customer_orders()" + ] + }, + { + "cell_type": "markdown", + "id": "29ea79af-1543-46fe-8ff4-ffb29a746da9", + "metadata": {}, + "source": [ + "3. Define a function named update_inventory that takes customer_orders and inventory as parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "752e79c4-d2e5-48b7-b417-80f89ef3cfad", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + "\n", + " for order in customer_orders:\n", + "\n", + " if order not in inventory: \n", + " print(f\"The product doesn't exist\")\n", + "\n", + " else:\n", + " inventory[order] = inventory[order] - 1\n", + " \n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "a616b660-e66f-43cd-8411-3c73574d6a7e", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 45\n", + "Enter the quantity for mug: 67\n", + "Enter the quantity for hat: 32\n", + "Enter the quantity for book: 45\n", + "Enter the quantity for keychain: 90\n", + "Enter your order: keychain\n", + "Do you want to enter place another order? (yes/no): no\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 45, 'mug': 67, 'hat': 32, 'book': 45, 'keychain': 89}" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "markdown", + "id": "75413ff4-21d7-4e4f-8588-c4b2ff683f4a", + "metadata": {}, + "source": [ + "4. Define a function named calculate_order_statistics that takes customer_orders and products as parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "b0e1f84d-4529-47f9-807c-7e66a66f9f4b", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders) # put sum(customer_orders) before but as a set of strings it can not be calculated\n", + "\n", + " percentage_unique_products = (len(customer_orders) / len(products)) * 100 #(quantidade produto ordered / quantidade total do produto) * 100\n", + "\n", + " return total_products_ordered, percentage_unique_products" + ] + }, + { + "cell_type": "markdown", + "id": "9e316eec-e41c-466b-afa9-e11402210f5e", + "metadata": {}, + "source": [ + "5. Define a function named print_order_statistics that takes order_statistics as a parameter." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "29776d40-1bac-4c9f-8512-be6c11b44298", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(orders_statistics):\n", + "\n", + " total_products_ordered, percentage_unique_products = order_statistics # tuple for example (5, 30) = order_statistics\n", + "\n", + " print(f\"The total of products ordered is: {total_products_ordered}\")\n", + " print(f\"The percentage of unique products ordered is: {percentage_unique_products}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e794a8fc-45ac-4f53-ab22-d1e97a171483", + "metadata": {}, + "source": [ + "6. Define a function named print_updated_inventory that takes inventory as a parameter." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "0e788f6d-9079-43ec-a90c-bbeca42d0758", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " \n", + " print(f\"The updated inventory is: {inventory}\")" + ] + }, + { + "cell_type": "markdown", + "id": "3cfc5804-f755-433b-bb6e-8812b4b8d6c9", + "metadata": {}, + "source": [ + "7. Call the functions in the appropriate sequence to execute the program and manage customer orders." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "345b4a99-3e61-4c6a-839b-2af5d0dcef7b", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity for t-shirt: 45\n", + "Enter the quantity for mug: 23\n", + "Enter the quantity for hat: 9\n", + "Enter the quantity for book: 21\n", + "Enter the quantity for keychain: 4\n", + "Enter your order: t-shirt\n", + "Do you want to enter place another order? (yes/no): yes\n", + "Enter your order: book\n", + "Do you want to enter place another order? (yes/no): no\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The total of products ordered is: 2\n", + "The percentage of unique products ordered is: 40.0\n", + "The updated inventory is: {'t-shirt': 44, 'mug': 23, 'hat': 9, 'book': 20, 'keychain': 4}\n" + ] + } + ], + "source": [ + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "\n", + "updated_inventory = update_inventory(customer_orders, inventory)\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory(updated_inventory)\n" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python [conda env:anaconda3]", "language": "python", - "name": "python3" + "name": "conda-env-anaconda3-py" }, "language_info": { "codemirror_mode": { @@ -61,7 +369,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,