diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..3baed69 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,268 @@ +{ + "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": 51, + "id": "bc0a5f4f-d7d0-4ae4-9905-cdafca5c57d4", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "t-shirt : 5\n", + "mug : 5\n", + "hat : 5\n", + "book : 5\n", + "keychain : 5\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 5, 'mug': 5, 'hat': 5, 'book': 5, 'keychain': 5}" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}\n", + "\n", + "def initialize_inventory(products):\n", + " for product in products:\n", + " amount = int(input(f\"{product} : \"))\n", + " inventory[product] = amount\n", + " \n", + " return inventory\n", + "\n", + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "ce797534-374f-4434-83cc-235563d366f0", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter a product: t-shirt\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt added to order\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to keep on ordering? (Yes/No) yes\n", + "Enter a product: hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hat added to order\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to keep on ordering? (Yes/No) yes\n", + "Enter a product: keychain\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "keychain added to order\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to keep on ordering? (Yes/No) no\n" + ] + } + ], + "source": [ + "def get_customer_orders():\n", + " keep_on = \"yes\"\n", + " customer_orders = set()\n", + " \n", + " while keep_on == \"yes\" : \n", + " product = input(f\"Enter a product: \").lower()\n", + " if product in inventory :\n", + " customer_orders.add(product)\n", + " print(f\"{product} added to order\")\n", + " answer = \"\"\n", + " while answer not in (\"yes\", \"no\") :\n", + " answer = input(\"Would you like to keep on ordering? (Yes/No)\").lower()\n", + " keep_on = answer \n", + " else :\n", + " print(f\"{product} not found!\")\n", + " \n", + " return customer_orders\n", + "\n", + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "35f5084c-793d-4ead-bd66-e490367ea7c3", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders):\n", + " for product in customer_orders :\n", + " if product in customer_orders :\n", + " inventory[product] -= 1\n", + "\n", + "update_inventory(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "c18509c4-9694-4657-ac4e-f855d75b653b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Order Statistics: Total Products Ordered: 3',\n", + " 'Percentage of Products Ordered: 13.64%']" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def calculate_order_statistics(customer_orders):\n", + " total = len(customer_orders)\n", + " percentage = round(len(customer_orders) / sum(inventory.values()) * 100, 2)\n", + " order_status = [f\"Order Statistics: Total Products Ordered: {total}\", f\"Percentage of Products Ordered: {percentage}%\"]\n", + " return order_status\n", + "\n", + "calculate_order_statistics(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "40d7e87e-ae48-47fe-9ab7-c6084295b09e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt 4\n", + "mug 5\n", + "hat 4\n", + "book 5\n", + "keychain 4\n" + ] + } + ], + "source": [ + "def print_updated_inventory(inventory):\n", + " for key, value in inventory.items() : \n", + " print(key, value)\n", + "\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44f0a28c-3e43-4f39-8210-59327c72622a", + "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": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..3baed69 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,212 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "bc0a5f4f-d7d0-4ae4-9905-cdafca5c57d4", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "t-shirt : 5\n", + "mug : 5\n", + "hat : 5\n", + "book : 5\n", + "keychain : 5\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 5, 'mug': 5, 'hat': 5, 'book': 5, 'keychain': 5}" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}\n", + "\n", + "def initialize_inventory(products):\n", + " for product in products:\n", + " amount = int(input(f\"{product} : \"))\n", + " inventory[product] = amount\n", + " \n", + " return inventory\n", + "\n", + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "ce797534-374f-4434-83cc-235563d366f0", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter a product: t-shirt\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt added to order\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to keep on ordering? (Yes/No) yes\n", + "Enter a product: hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hat added to order\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to keep on ordering? (Yes/No) yes\n", + "Enter a product: keychain\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "keychain added to order\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to keep on ordering? (Yes/No) no\n" + ] + } + ], + "source": [ + "def get_customer_orders():\n", + " keep_on = \"yes\"\n", + " customer_orders = set()\n", + " \n", + " while keep_on == \"yes\" : \n", + " product = input(f\"Enter a product: \").lower()\n", + " if product in inventory :\n", + " customer_orders.add(product)\n", + " print(f\"{product} added to order\")\n", + " answer = \"\"\n", + " while answer not in (\"yes\", \"no\") :\n", + " answer = input(\"Would you like to keep on ordering? (Yes/No)\").lower()\n", + " keep_on = answer \n", + " else :\n", + " print(f\"{product} not found!\")\n", + " \n", + " return customer_orders\n", + "\n", + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "35f5084c-793d-4ead-bd66-e490367ea7c3", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders):\n", + " for product in customer_orders :\n", + " if product in customer_orders :\n", + " inventory[product] -= 1\n", + "\n", + "update_inventory(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "c18509c4-9694-4657-ac4e-f855d75b653b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Order Statistics: Total Products Ordered: 3',\n", + " 'Percentage of Products Ordered: 13.64%']" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def calculate_order_statistics(customer_orders):\n", + " total = len(customer_orders)\n", + " percentage = round(len(customer_orders) / sum(inventory.values()) * 100, 2)\n", + " order_status = [f\"Order Statistics: Total Products Ordered: {total}\", f\"Percentage of Products Ordered: {percentage}%\"]\n", + " return order_status\n", + "\n", + "calculate_order_statistics(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "40d7e87e-ae48-47fe-9ab7-c6084295b09e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt 4\n", + "mug 5\n", + "hat 4\n", + "book 5\n", + "keychain 4\n" + ] + } + ], + "source": [ + "def print_updated_inventory(inventory):\n", + " for key, value in inventory.items() : \n", + " print(key, value)\n", + "\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44f0a28c-3e43-4f39-8210-59327c72622a", + "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 +260,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.12.7" } }, "nbformat": 4,