diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb deleted file mode 100644 index 44d337b..0000000 --- a/lab-python-functions.ipynb +++ /dev/null @@ -1,69 +0,0 @@ -{ - "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" - ] - } - ], - "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": "3.9.13" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab_function.ipynb b/lab_function.ipynb new file mode 100644 index 0000000..c9c7333 --- /dev/null +++ b/lab_function.ipynb @@ -0,0 +1,166 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "ac0e563a", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named initialize_inventory that takes products as a parameter. Inside the function, \n", + "# implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "def initialize_inventory(products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity = int(input(\"Enter the quantity for \" + product + \": \"))\n", + " inventory[product] = quantity\n", + " return inventory " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a4794377", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function named get_customer_orders that takes no parameters. Inside the function, \n", + "# 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_more = \"yes\"\n", + " while add_more == \"yes\":\n", + " order = input(\"Enter the name of a product to order: \")\n", + " customer_orders.add(order)\n", + " add_more = input(\"Do you want to add another product? (yes/no): \")\n", + " return customer_orders \n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fbf7229c", + "metadata": {}, + "outputs": [], + "source": [ + "# 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 order in customer_orders:\n", + " if order in inventory:\n", + " inventory[order] = inventory[order] - 1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "790e59d6", + "metadata": {}, + "outputs": [], + "source": [ + "# 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 \n", + "# (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", + " total = len(customer_orders)\n", + " percentage = (total / len(products)) * 100\n", + " return total,percentage\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "94029a1c", + "metadata": {}, + "outputs": [], + "source": [ + "# 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", + " print(\"Total products ordered:\", order_statistics[0])\n", + " print(\"Percentage ordered:\", order_statistics[1],\"%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9a4bca63", + "metadata": {}, + "outputs": [], + "source": [ + "# 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(\"updated inventory:\")\n", + " for product in inventory:\n", + " print(product, \":\", inventory[product])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9feb93a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total products ordered: 1\n", + "Percentage ordered: 20.0 %\n", + "updated inventory:\n", + "t-shirt : 50\n", + "mug : 10\n", + "hat : 60\n", + "book : 22\n", + "keychain : 11\n" + ] + } + ], + "source": [ + "# Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory = initialize_inventory(products)\n", + "\n", + "orders = get_customer_orders()\n", + "\n", + "update_inventory(orders, inventory)\n", + "\n", + "statistics = calculate_order_statistics(orders, products)\n", + "\n", + "print_order_statistics(statistics)\n", + "\n", + "print_updated_inventory(inventory)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "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 +}