diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..1583caf --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,232 @@ +{ + "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": "code", + "execution_count": 18, + "id": "1893b771-4bae-4224-9a6b-8e1364a4777e", + "metadata": {}, + "outputs": [], + "source": [ + "#define a function named initialize_inventory\n", + "\n", + "def initialize_inventory(products):\n", + " products: ['t-shirts','mug','hat','book','keychain']\n", + " inventory: {'t-shirts': 20,'mug': 15,'hat': 15,'book': 8,'keychain': 25}\n", + "\n", + " print('initialize_inventory')\n", + " \n", + " inventory = {}\n", + " for product in products:\n", + " quantity = int(input(f\"Enter quantity for {product}: \"))\n", + " inventory[product] = quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "664940b1-f0f7-4a76-90b9-4b282167ae5a", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set()\n", + "\n", + " while True:\n", + " product = input(\"Enter product to order: \").lower()\n", + " customer_orders.add(product)\n", + "\n", + " another = input(\"Add another product? (yes/no): \").lower()\n", + " if another != \"yes\":\n", + " break\n", + "\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "c47baf12-df1f-4789-a618-f21282457483", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product] -= 1" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "34698a72-0b90-478d-8380-86edae724736", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " percentage_ordered = (total_products_ordered / len(products)) * 100\n", + " return total_products_ordered, percentage_ordered" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "f31c0764-6d43-4e44-be3f-5c0e4ea04fda", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(order_statistics):\n", + " print(\"\\nOrder Statistics:\")\n", + " print(f\"Total Products Ordered: {order_statistics[0]}\")\n", + " print(f\"Percentage of Products Ordered: {order_statistics[1]}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "3895e185-44e9-42f9-8aa5-f954a12d345d", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(\"\\nUpdated Inventory:\")\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "46b2082f-875a-46d2-97a2-e181ef8efad2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "initialize_inventory\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity for t-shirt: 20\n", + "Enter quantity for mug: 15\n", + "Enter quantity for hat: 15\n", + "Enter quantity for book: 8\n", + "Enter quantity for keychain: 25\n", + "Enter product to order: mug\n", + "Add another product? (yes/no): hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Order Statistics:\n", + "Total Products Ordered: 1\n", + "Percentage of Products Ordered: 20.0%\n", + "\n", + "Updated Inventory:\n", + "t-shirt: 20\n", + "mug: 14\n", + "hat: 15\n", + "book: 8\n", + "keychain: 25\n" + ] + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory = initialize_inventory(products)\n", + "\n", + "customer_orders = get_customer_orders()\n", + "\n", + "update_inventory(customer_orders, inventory)\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "print_order_statistics(order_statistics)\n", + "\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85045fe9-23e7-431b-9a6d-a928c8c10b99", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:base]", + "language": "python", + "name": "conda-base-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..1583caf 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,176 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "1893b771-4bae-4224-9a6b-8e1364a4777e", + "metadata": {}, + "outputs": [], + "source": [ + "#define a function named initialize_inventory\n", + "\n", + "def initialize_inventory(products):\n", + " products: ['t-shirts','mug','hat','book','keychain']\n", + " inventory: {'t-shirts': 20,'mug': 15,'hat': 15,'book': 8,'keychain': 25}\n", + "\n", + " print('initialize_inventory')\n", + " \n", + " inventory = {}\n", + " for product in products:\n", + " quantity = int(input(f\"Enter quantity for {product}: \"))\n", + " inventory[product] = quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "664940b1-f0f7-4a76-90b9-4b282167ae5a", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set()\n", + "\n", + " while True:\n", + " product = input(\"Enter product to order: \").lower()\n", + " customer_orders.add(product)\n", + "\n", + " another = input(\"Add another product? (yes/no): \").lower()\n", + " if another != \"yes\":\n", + " break\n", + "\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "c47baf12-df1f-4789-a618-f21282457483", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product] -= 1" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "34698a72-0b90-478d-8380-86edae724736", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " percentage_ordered = (total_products_ordered / len(products)) * 100\n", + " return total_products_ordered, percentage_ordered" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "f31c0764-6d43-4e44-be3f-5c0e4ea04fda", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(order_statistics):\n", + " print(\"\\nOrder Statistics:\")\n", + " print(f\"Total Products Ordered: {order_statistics[0]}\")\n", + " print(f\"Percentage of Products Ordered: {order_statistics[1]}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "3895e185-44e9-42f9-8aa5-f954a12d345d", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(\"\\nUpdated Inventory:\")\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "46b2082f-875a-46d2-97a2-e181ef8efad2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "initialize_inventory\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity for t-shirt: 20\n", + "Enter quantity for mug: 15\n", + "Enter quantity for hat: 15\n", + "Enter quantity for book: 8\n", + "Enter quantity for keychain: 25\n", + "Enter product to order: mug\n", + "Add another product? (yes/no): hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Order Statistics:\n", + "Total Products Ordered: 1\n", + "Percentage of Products Ordered: 20.0%\n", + "\n", + "Updated Inventory:\n", + "t-shirt: 20\n", + "mug: 14\n", + "hat: 15\n", + "book: 8\n", + "keychain: 25\n" + ] + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory = initialize_inventory(products)\n", + "\n", + "customer_orders = get_customer_orders()\n", + "\n", + "update_inventory(customer_orders, inventory)\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "print_order_statistics(order_statistics)\n", + "\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85045fe9-23e7-431b-9a6d-a928c8c10b99", + "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": { @@ -61,7 +224,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,