diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..04dbbb0 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,275 @@ +{ + "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": 29, + "id": "2e7a8f61-bdd9-4152-a1a3-e31e7881b46f", + "metadata": {}, + "outputs": [], + "source": [ + "# 1.Define a function named initialize_inventory that takes products as a parameter. \n", + "#Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "# Define a list of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {\"t-shirt\": 40, \n", + " \"mug\": 25, \n", + " \"hat\" : 30, \n", + " \"book\":12, \n", + " \"keychain\":6\n", + "}\n", + "\n", + "customer_orders = { \"mug\", \"hat\", \"book\"}\n", + "def initialize_inventory(products):\n", + " # Create an empty dictionary\n", + " for p in products:\n", + " product_quantity = int(input(f\"Enter the quantity of {p} available in the inventory: \"))\n", + " inventory [p] = product_quantity\n", + " return inventory\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "b670061c-1f43-432c-a94d-8c19792d8fe7", + "metadata": {}, + "outputs": [], + "source": [ + "# 1.Define a function named initialize_inventory that takes products as a parameter. \n", + "#Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "# Define a list of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "def initialize_inventory(products):\n", + " # Create an empty dictionary\n", + " inventory = {}\n", + " for p in products:\n", + " product_quantity = int(input(f\"Enter the quantity of {p} available in the inventory: \"))\n", + " inventory [p] = product_quantity\n", + " return inventory\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a84e282-a99a-43c4-bca4-80ef64e92ba0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "aa47c73e-1eeb-404b-b247-8dc8459e4a64", + "metadata": {}, + "outputs": [], + "source": [ + "# 2.Define a function named get_customer_orders that takes no parameters. \n", + "#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", + "def get_customer_orders(): \n", + " customer_orders = set()\n", + " add_product = \"yes\"\n", + " while add_product.lower() == \"yes\":\n", + " product_name = input(f\"Enter the name of a product to order: \")\n", + " # Add the product name to the \"customer_orders\" set.\n", + " customer_orders.add(product_name)\n", + " # Ask the user if they want to add another product (yes/no).\n", + " add_product = input(f\"Do you want to add another product ? (yes/no) :\")\n", + " \n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a009adc0-f892-4280-a453-2112a8809565", + "metadata": {}, + "outputs": [], + "source": [ + "# 3.Define a function named update_inventory that takes customer_orders and inventory as parameters. \n", + "#Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", + "\n", + "def update_inventory(customer_orders, inventory):\n", + " for p in customer_orders:\n", + " if p in inventory:\n", + " inventory[p] -=1\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "eb2463f3-02f8-42d5-9949-775e6175f11f", + "metadata": {}, + "outputs": [], + "source": [ + "# 4.Define a function named calculate_order_statistics that takes customer_orders and products as parameters. \n", + "#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", + "def calculate_order_statistics(customer_orders, products):\n", + " \n", + " # 1. Total products ordered\n", + " total_product_ordered = len(customer_orders)\n", + " \n", + " # 2. Unique products ordered\n", + " unique_product_ordered = len(set(customer_orders))\n", + "\n", + " # 3. Total available products\n", + " total_products = len(products)\n", + "\n", + " # 4. Percentage of unique products ordered\n", + " if total_products >0:\n", + " percentage_unique_p_ordered = (unique_product_ordered / total_products)* 100\n", + " else:\n", + " percentage_unique_p_ordered = 0\n", + "\n", + " return total_product_ordered, percentage_unique_p_ordered\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "6e99cb43-c9b4-4f93-816d-2b08ec3e7041", + "metadata": {}, + "outputs": [], + "source": [ + "# 5.Define a function named print_order_statistics that takes order_statistics as a parameter. \n", + "#Inside the function, implement the code for printing the order statistics.\n", + "\n", + "def print_order_statistics(order_statistics):\n", + " total_product_ordered, percentage_unique_p_ordered = order_statistics\n", + " print(f\"Total products ordered: {total_product_ordered}\")\n", + " print(f\"Percentage of unique products ordered: {percentage_unique_p_ordered:.2f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "bc0b6792-33df-4545-afb0-0db0b70dd70c", + "metadata": {}, + "outputs": [], + "source": [ + "# 6.Define a function named print_updated_inventory that takes inventory as a parameter. \n", + "#Inside the function, implement the code for printing the updated inventory.\n", + "\n", + "def print_updated_inventory (inventory):\n", + " print(f\"Updated inventory:\")\n", + " for p, product_quantity in inventory.items():\n", + " print(f\"{p}: {product_quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d80111c2-0149-40fc-bb76-6125f84d5a8c", + "metadata": {}, + "outputs": [], + "source": [ + "# 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", + "# list of available products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "#start the inventory\n", + "inventory = initialize_inventory(products)\n", + "\n", + "#collect the customer's orders\n", + "customer_orders = get_customer_orders()\n", + "\n", + "# Update the inventory\n", + "inventory = update_inventory(customer_orders, inventory)\n", + "\n", + "# calculate statistics\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "# display the statistics\n", + "print_order_statistics(order_statistics)\n", + "\n", + "# display updated inventory\n", + "print_updated_inventory(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1797ed0-d4b3-40a1-ade4-58b6959a44a5", + "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": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..04dbbb0 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,219 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "2e7a8f61-bdd9-4152-a1a3-e31e7881b46f", + "metadata": {}, + "outputs": [], + "source": [ + "# 1.Define a function named initialize_inventory that takes products as a parameter. \n", + "#Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "# Define a list of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {\"t-shirt\": 40, \n", + " \"mug\": 25, \n", + " \"hat\" : 30, \n", + " \"book\":12, \n", + " \"keychain\":6\n", + "}\n", + "\n", + "customer_orders = { \"mug\", \"hat\", \"book\"}\n", + "def initialize_inventory(products):\n", + " # Create an empty dictionary\n", + " for p in products:\n", + " product_quantity = int(input(f\"Enter the quantity of {p} available in the inventory: \"))\n", + " inventory [p] = product_quantity\n", + " return inventory\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "b670061c-1f43-432c-a94d-8c19792d8fe7", + "metadata": {}, + "outputs": [], + "source": [ + "# 1.Define a function named initialize_inventory that takes products as a parameter. \n", + "#Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "# Define a list of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "def initialize_inventory(products):\n", + " # Create an empty dictionary\n", + " inventory = {}\n", + " for p in products:\n", + " product_quantity = int(input(f\"Enter the quantity of {p} available in the inventory: \"))\n", + " inventory [p] = product_quantity\n", + " return inventory\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a84e282-a99a-43c4-bca4-80ef64e92ba0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "aa47c73e-1eeb-404b-b247-8dc8459e4a64", + "metadata": {}, + "outputs": [], + "source": [ + "# 2.Define a function named get_customer_orders that takes no parameters. \n", + "#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", + "def get_customer_orders(): \n", + " customer_orders = set()\n", + " add_product = \"yes\"\n", + " while add_product.lower() == \"yes\":\n", + " product_name = input(f\"Enter the name of a product to order: \")\n", + " # Add the product name to the \"customer_orders\" set.\n", + " customer_orders.add(product_name)\n", + " # Ask the user if they want to add another product (yes/no).\n", + " add_product = input(f\"Do you want to add another product ? (yes/no) :\")\n", + " \n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a009adc0-f892-4280-a453-2112a8809565", + "metadata": {}, + "outputs": [], + "source": [ + "# 3.Define a function named update_inventory that takes customer_orders and inventory as parameters. \n", + "#Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", + "\n", + "def update_inventory(customer_orders, inventory):\n", + " for p in customer_orders:\n", + " if p in inventory:\n", + " inventory[p] -=1\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "eb2463f3-02f8-42d5-9949-775e6175f11f", + "metadata": {}, + "outputs": [], + "source": [ + "# 4.Define a function named calculate_order_statistics that takes customer_orders and products as parameters. \n", + "#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", + "def calculate_order_statistics(customer_orders, products):\n", + " \n", + " # 1. Total products ordered\n", + " total_product_ordered = len(customer_orders)\n", + " \n", + " # 2. Unique products ordered\n", + " unique_product_ordered = len(set(customer_orders))\n", + "\n", + " # 3. Total available products\n", + " total_products = len(products)\n", + "\n", + " # 4. Percentage of unique products ordered\n", + " if total_products >0:\n", + " percentage_unique_p_ordered = (unique_product_ordered / total_products)* 100\n", + " else:\n", + " percentage_unique_p_ordered = 0\n", + "\n", + " return total_product_ordered, percentage_unique_p_ordered\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "6e99cb43-c9b4-4f93-816d-2b08ec3e7041", + "metadata": {}, + "outputs": [], + "source": [ + "# 5.Define a function named print_order_statistics that takes order_statistics as a parameter. \n", + "#Inside the function, implement the code for printing the order statistics.\n", + "\n", + "def print_order_statistics(order_statistics):\n", + " total_product_ordered, percentage_unique_p_ordered = order_statistics\n", + " print(f\"Total products ordered: {total_product_ordered}\")\n", + " print(f\"Percentage of unique products ordered: {percentage_unique_p_ordered:.2f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "bc0b6792-33df-4545-afb0-0db0b70dd70c", + "metadata": {}, + "outputs": [], + "source": [ + "# 6.Define a function named print_updated_inventory that takes inventory as a parameter. \n", + "#Inside the function, implement the code for printing the updated inventory.\n", + "\n", + "def print_updated_inventory (inventory):\n", + " print(f\"Updated inventory:\")\n", + " for p, product_quantity in inventory.items():\n", + " print(f\"{p}: {product_quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d80111c2-0149-40fc-bb76-6125f84d5a8c", + "metadata": {}, + "outputs": [], + "source": [ + "# 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", + "# list of available products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "#start the inventory\n", + "inventory = initialize_inventory(products)\n", + "\n", + "#collect the customer's orders\n", + "customer_orders = get_customer_orders()\n", + "\n", + "# Update the inventory\n", + "inventory = update_inventory(customer_orders, inventory)\n", + "\n", + "# calculate statistics\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "# display the statistics\n", + "print_order_statistics(order_statistics)\n", + "\n", + "# display updated inventory\n", + "print_updated_inventory(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1797ed0-d4b3-40a1-ade4-58b6959a44a5", + "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 +267,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4,