diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..38736d6 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,307 @@ +{ + "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": 71, + "id": "02e192d1-9f34-47ca-9ba2-7789aba35896", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named initialize_inventory that takes products as a parameter\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}\n", + "def initialize_inventory(products):\n", + " for product in products:\n", + " quantity = int(input(\"Please enter the quantity of \" + product))\n", + " inventory[product] = quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "57f25918-7a50-4d23-a396-2813a85fe23d", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Please enter the quantity of t-shirt 18\n", + "Please enter the quantity of mug 5\n", + "Please enter the quantity of hat 24\n", + "Please enter the quantity of book 12\n", + "Please enter the quantity of keychain 52\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 18, 'mug': 5, 'hat': 24, 'book': 12, 'keychain': 52}" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "918bc3bb-a3c9-4c38-b6b8-82827b153d2d", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named get_customer_orders\n", + "def get_customer_orders():\n", + " customer_orders = set()\n", + " while True:\n", + " product = input('Enter the name of a product you want to order: ')\n", + " customer_orders.add(product) # Add valid product to orders\n", + " new_order = input('Do you want to add another product? (Y/N): ')\n", + " if new_order.upper() != 'Y':\n", + " break # Stop the loop if answer is not yes\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "f16c1733-7f71-4375-a0fa-b7feab5d43d9", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the name of a product you want to order: mug\n", + "Do you want to add another product? (Y/N): Y\n", + "Enter the name of a product you want to order: book\n", + "Do you want to add another product? (Y/N): Y\n", + "Enter the name of a product you want to order: hat\n", + "Do you want to add another product? (Y/N): N\n" + ] + }, + { + "data": { + "text/plain": [ + "{'book', 'hat', 'mug'}" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "30e7468f-e442-4384-99a4-7d285ab1e366", + "metadata": {}, + "outputs": [], + "source": [ + "# inventory = {'t-shirt': 1, 'mug': 1, 'hat': 1, 'book': 1, 'keychain': 1}\n", + "# customer_orders = {'book', 'hat', 'mug'}\n", + "# Define a function named update_inventory\n", + "def update_inventory(customer_orders,inventory):\n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product]-=1 #same name \"product\" among set and dictionary\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "9a6e0292-787a-42c1-8de5-d706de19f9c7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 18, 'mug': 4, 'hat': 23, 'book': 11, 'keychain': 52}" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "update_inventory(customer_orders,inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "505c33d3-4632-43e6-b02b-cda19724955d", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named calculate_order_statistics\n", + "# customer_orders = {'book', 'hat', 'mug'}\n", + "# products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "def calculate_order_statistics(customer_orders, products):\n", + " Total_Products_Ordered = len(customer_orders)\n", + " Percentage_of_Products_Ordered = len(customer_orders) / len(products) *100\n", + " order_statistics = (Total_Products_Ordered,Percentage_of_Products_Ordered)\n", + " return order_statistics" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "212a06fd-0a61-4dac-a427-a8c20b1913d5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(3, 60.0)" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "calculate_order_statistics(customer_orders, products)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "aebb8e55-5628-49f0-8446-cd2476f65172", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named print_order_statistics\n", + "# order_statistics = (3, 60.0)\n", + "def print_order_statistics(order_statistics):\n", + " print(f\"Total Products Ordered: {order_statistics[0]}, Percentage of Products Ordered: {order_statistics[1]} % \")" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "a1b82586-4794-4eb7-bfdd-4236b4f01281", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Products Ordered: 3, Percentage of Products Ordered: 60.0 % \n" + ] + } + ], + "source": [ + "print_order_statistics(order_statistics)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "c59e225a-9e9b-4dbe-8a24-b4ef563f8f35", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named print_updated_inventory\n", + "def print_updated_inventory(inventory):\n", + " print(f\"inventory has been updated! {inventory}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "e18a171f-2b6e-4bfb-9cd1-d84a96bbaf44", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "inventory has been updated! {'t-shirt': 18, 'mug': 4, 'hat': 23, 'book': 11, 'keychain': 52}\n" + ] + } + ], + "source": [ + "print_updated_inventory(inventory)" + ] + } + ], + "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": "3.13.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..38736d6 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,6 +43,244 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "02e192d1-9f34-47ca-9ba2-7789aba35896", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named initialize_inventory that takes products as a parameter\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}\n", + "def initialize_inventory(products):\n", + " for product in products:\n", + " quantity = int(input(\"Please enter the quantity of \" + product))\n", + " inventory[product] = quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "57f25918-7a50-4d23-a396-2813a85fe23d", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Please enter the quantity of t-shirt 18\n", + "Please enter the quantity of mug 5\n", + "Please enter the quantity of hat 24\n", + "Please enter the quantity of book 12\n", + "Please enter the quantity of keychain 52\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 18, 'mug': 5, 'hat': 24, 'book': 12, 'keychain': 52}" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "918bc3bb-a3c9-4c38-b6b8-82827b153d2d", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named get_customer_orders\n", + "def get_customer_orders():\n", + " customer_orders = set()\n", + " while True:\n", + " product = input('Enter the name of a product you want to order: ')\n", + " customer_orders.add(product) # Add valid product to orders\n", + " new_order = input('Do you want to add another product? (Y/N): ')\n", + " if new_order.upper() != 'Y':\n", + " break # Stop the loop if answer is not yes\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "f16c1733-7f71-4375-a0fa-b7feab5d43d9", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the name of a product you want to order: mug\n", + "Do you want to add another product? (Y/N): Y\n", + "Enter the name of a product you want to order: book\n", + "Do you want to add another product? (Y/N): Y\n", + "Enter the name of a product you want to order: hat\n", + "Do you want to add another product? (Y/N): N\n" + ] + }, + { + "data": { + "text/plain": [ + "{'book', 'hat', 'mug'}" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "30e7468f-e442-4384-99a4-7d285ab1e366", + "metadata": {}, + "outputs": [], + "source": [ + "# inventory = {'t-shirt': 1, 'mug': 1, 'hat': 1, 'book': 1, 'keychain': 1}\n", + "# customer_orders = {'book', 'hat', 'mug'}\n", + "# Define a function named update_inventory\n", + "def update_inventory(customer_orders,inventory):\n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product]-=1 #same name \"product\" among set and dictionary\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "9a6e0292-787a-42c1-8de5-d706de19f9c7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 18, 'mug': 4, 'hat': 23, 'book': 11, 'keychain': 52}" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "update_inventory(customer_orders,inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "505c33d3-4632-43e6-b02b-cda19724955d", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named calculate_order_statistics\n", + "# customer_orders = {'book', 'hat', 'mug'}\n", + "# products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "def calculate_order_statistics(customer_orders, products):\n", + " Total_Products_Ordered = len(customer_orders)\n", + " Percentage_of_Products_Ordered = len(customer_orders) / len(products) *100\n", + " order_statistics = (Total_Products_Ordered,Percentage_of_Products_Ordered)\n", + " return order_statistics" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "212a06fd-0a61-4dac-a427-a8c20b1913d5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(3, 60.0)" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "calculate_order_statistics(customer_orders, products)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "aebb8e55-5628-49f0-8446-cd2476f65172", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named print_order_statistics\n", + "# order_statistics = (3, 60.0)\n", + "def print_order_statistics(order_statistics):\n", + " print(f\"Total Products Ordered: {order_statistics[0]}, Percentage of Products Ordered: {order_statistics[1]} % \")" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "a1b82586-4794-4eb7-bfdd-4236b4f01281", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Products Ordered: 3, Percentage of Products Ordered: 60.0 % \n" + ] + } + ], + "source": [ + "print_order_statistics(order_statistics)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "c59e225a-9e9b-4dbe-8a24-b4ef563f8f35", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named print_updated_inventory\n", + "def print_updated_inventory(inventory):\n", + " print(f\"inventory has been updated! {inventory}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "e18a171f-2b6e-4bfb-9cd1-d84a96bbaf44", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "inventory has been updated! {'t-shirt': 18, 'mug': 4, 'hat': 23, 'book': 11, 'keychain': 52}\n" + ] + } + ], + "source": [ + "print_updated_inventory(inventory)" + ] } ], "metadata": { @@ -61,7 +299,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,