diff --git a/lab-python-functions (labfinish).ipynb b/lab-python-functions (labfinish).ipynb new file mode 100644 index 0000000..3d32535 --- /dev/null +++ b/lab-python-functions (labfinish).ipynb @@ -0,0 +1,262 @@ +{ + "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": null, + "id": "6d9695e7-641d-473e-9e9e-1a332e3f4fbc", + "metadata": {}, + "outputs": [], + "source": [ + "FUNCTION initialize_inventory(products):\n", + " CREATE empty inventory dict\n", + " FOR each product in products:\n", + " LOOP until valid quantity entered\n", + " STORE in inventory\n", + " RETURN inventory\n", + "\n", + "FUNCTION get_customer_orders():\n", + " CREATE empty customer_orders set\n", + " ASK how many products the customer wants to order (validated)\n", + " FOR that many times:\n", + " LOOP until valid product name entered\n", + " ADD to customer_orders\n", + " RETURN customer_orders\n", + "\n", + "FUNCTION update_inventory(customer_orders, inventory):\n", + " FOR each product in customer_orders:\n", + " SUBTRACT 1 from inventory[product]\n", + " (no return needed — dictionary is modified in place)\n", + "\n", + "FUNCTION calculate_order_statistics(customer_orders, products):\n", + " total = number of items in customer_orders\n", + " percentage = (total / number of items in products) * 100\n", + " RETURN (total, percentage)\n", + "\n", + "FUNCTION print_order_statistics(order_statistics):\n", + " UNPACK order_statistics into total and percentage\n", + " PRINT them in the required format\n", + "\n", + "FUNCTION print_updated_inventory(inventory):\n", + " FOR each product, quantity in inventory:\n", + " PRINT product and quantity\n", + "\n", + "MAIN PROGRAM:\n", + " CALL initialize_inventory\n", + " CALL get_customer_orders\n", + " CALL update_inventory\n", + " CALL calculate_order_statistics\n", + " CALL print_order_statistics\n", + " CALL print_updated_inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "99b2067d-e5f1-48ec-a617-3f35084518ba", + "metadata": {}, + "outputs": [], + "source": [ + "#Remember our products are: \n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "#Our inventory is:\n", + "inventory = {\"t-shirt\":10, \"mug\":12, \"hat\":2, \"book\":3, \"keychain\":35}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "caa3460b-2e3c-431b-bf54-04d34a03e382", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity of t-shirt: 1\n", + "Enter quantity of mug: 3\n", + "Enter quantity of hat: 4\n", + "Enter quantity of book: 1\n", + "Enter quantity of keychain: 0\n", + "Enter a product the customer wants to order: mug\n", + "Enter a product the customer wants to order: tshirt\n", + "Enter a product the customer wants to order: keychain\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0 %\n" + ] + }, + { + "ename": "KeyError", + "evalue": "'tshirt'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 60\u001b[39m\n\u001b[32m 56\u001b[39m \n\u001b[32m 57\u001b[39m order_statistics = calculate_order_statistics(customer_orders, products)\n\u001b[32m 58\u001b[39m print_order_statistics(order_statistics)\n\u001b[32m 59\u001b[39m \n\u001b[32m---> \u001b[39m\u001b[32m60\u001b[39m update_inventory(customer_orders, inventory)\n\u001b[32m 61\u001b[39m print_updated_inventory(inventory)\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 27\u001b[39m, in \u001b[36mupdate_inventory\u001b[39m\u001b[34m(customer_orders, inventory)\u001b[39m\n\u001b[32m 25\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m update_inventory(customer_orders, inventory):\n\u001b[32m 26\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m product \u001b[38;5;28;01min\u001b[39;00m customer_orders:\n\u001b[32m---> \u001b[39m\u001b[32m27\u001b[39m inventory[product] = inventory[product] - \u001b[32m1\u001b[39m\n", + "\u001b[31mKeyError\u001b[39m: 'tshirt'" + ] + } + ], + "source": [ + "# List of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "\n", + "# 1. Function to set up inventory\n", + "def initialize_inventory(products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity = input(\"Enter quantity of \" + product + \": \")\n", + " quantity = int(quantity)\n", + " inventory[product] = quantity\n", + " return inventory\n", + "\n", + "\n", + "# 2. Function to get customer orders\n", + "def get_customer_orders():\n", + " customer_orders = set()\n", + " for i in range(3):\n", + " order = input(\"Enter a product the customer wants to order: \")\n", + " customer_orders.add(order)\n", + " return customer_orders\n", + "\n", + "\n", + "# 3. Function to update inventory\n", + "def update_inventory(customer_orders, inventory):\n", + " for product in customer_orders:\n", + " inventory[product] = inventory[product] - 1\n", + "\n", + "\n", + "# 4. Function to calculate statistics\n", + "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\n", + "\n", + "\n", + "# 5. Function to print statistics\n", + "def print_order_statistics(order_statistics):\n", + " total_products_ordered = order_statistics[0]\n", + " percentage_ordered = order_statistics[1]\n", + " print(\"Order Statistics:\")\n", + " print(\"Total Products Ordered:\", total_products_ordered)\n", + " print(\"Percentage of Products Ordered:\", percentage_ordered, \"%\")\n", + "\n", + "\n", + "# 6. Function to print inventory\n", + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + " for product in inventory:\n", + " print(product, \":\", inventory[product])\n", + "\n", + "\n", + "# 7. Run the program\n", + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "print_order_statistics(order_statistics)\n", + "\n", + "update_inventory(customer_orders, inventory)\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e24b100e-7337-40c8-b3b2-4059d037d7b1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73ceced7-f156-4178-a7cd-e5e715513c7f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "129b6294-2908-4459-b160-6c244bf587e5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}