diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000..c759770 Binary files /dev/null and b/.DS_Store differ diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..e0be807 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,216 @@ +{ + "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": 7, + "id": "400c3bcf-2fd2-45d2-8ad2-0aa14512c768", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 1\n", + "def initialize_inventory (products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity =int(input(f\"Enter the quantity available for {product}: \"))\n", + " inventory [product] = quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4cd2aa34-a562-4e3d-880a-5a6424dc3ff1", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 2\n", + "def get_customer_orders ():\n", + " customer_orders = set()\n", + " while True:\n", + " order=input(\"Enter the other product that customer wants: \")\n", + " customer_orders.add(order)\n", + " another_product=input(\"Would you like to add another product?(Answer only Yes or No) \")\n", + "\n", + " if another_product==\"No\" or another_product==\"no\":\n", + " break\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0b37d811-1c58-43fa-8a5d-0e20d69216c4", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 3\n", + "def update_inventory (customer_orders, inventory):\n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product] -=1 \n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4ccb2958-bb2e-4a65-a056-62275e028438", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 4\n", + "def calculate_order_statistics (customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " \n", + " percentage_ordered = (total_products_ordered / len(products)) * 10\n", + " \n", + " return total_products_ordered,percentage_ordered\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "feb44e20-9522-4456-a6c6-40e5ad531c5c", + "metadata": {}, + "outputs": [], + "source": [ + "#Function 5\n", + "def print_order_statistics(order_statistics):\n", + " total_products_ordered = order_statistics [0]\n", + " percentage_ordered = order_statistics [1]\n", + " \n", + " print(\"Order Statistics:\")\n", + " print(\"Total Products Ordered:\", total_products_ordered)\n", + " print(\"Percentage of Products Ordered:\", percentage_ordered, \"%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "06355cb6-c24b-4a3f-9621-5532a6a63657", + "metadata": {}, + "outputs": [], + "source": [ + "#Function 6\n", + "def print_updated_inventory (inventory):\n", + " print(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "aa846742-a705-41ce-9b4a-2292ff66858c", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity available for t-shirt: 5\n", + "Enter the quantity available for mug: 5\n", + "Enter the quantity available for hat: 5\n", + "Enter the quantity available for book: 5\n", + "Enter the quantity available for keychain: 5\n", + "Enter the other product that customer wants: hat\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: book\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: mug\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: t-shirt\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: keychain\n", + "Would you like to add another product?(Answer only Yes or No) no\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 5\n", + "Percentage of Products Ordered: 10.0 %\n", + "{'t-shirt': 4, 'mug': 4, 'hat': 4, 'book': 4, 'keychain': 4}\n" + ] + } + ], + "source": [ + "#Step 7\n", + "\n", + "# List of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory =initialize_inventory(products)\n", + "customer_orders = get_customer_orders ()\n", + "update_inventory (customer_orders, inventory)\n", + "order_statistics = calculate_order_statistics (customer_orders, products)\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory (inventory)\n" + ] + } + ], + "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": "3.13.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..e0be807 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,160 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "400c3bcf-2fd2-45d2-8ad2-0aa14512c768", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 1\n", + "def initialize_inventory (products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity =int(input(f\"Enter the quantity available for {product}: \"))\n", + " inventory [product] = quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4cd2aa34-a562-4e3d-880a-5a6424dc3ff1", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 2\n", + "def get_customer_orders ():\n", + " customer_orders = set()\n", + " while True:\n", + " order=input(\"Enter the other product that customer wants: \")\n", + " customer_orders.add(order)\n", + " another_product=input(\"Would you like to add another product?(Answer only Yes or No) \")\n", + "\n", + " if another_product==\"No\" or another_product==\"no\":\n", + " break\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0b37d811-1c58-43fa-8a5d-0e20d69216c4", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 3\n", + "def update_inventory (customer_orders, inventory):\n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product] -=1 \n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4ccb2958-bb2e-4a65-a056-62275e028438", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 4\n", + "def calculate_order_statistics (customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " \n", + " percentage_ordered = (total_products_ordered / len(products)) * 10\n", + " \n", + " return total_products_ordered,percentage_ordered\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "feb44e20-9522-4456-a6c6-40e5ad531c5c", + "metadata": {}, + "outputs": [], + "source": [ + "#Function 5\n", + "def print_order_statistics(order_statistics):\n", + " total_products_ordered = order_statistics [0]\n", + " percentage_ordered = order_statistics [1]\n", + " \n", + " print(\"Order Statistics:\")\n", + " print(\"Total Products Ordered:\", total_products_ordered)\n", + " print(\"Percentage of Products Ordered:\", percentage_ordered, \"%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "06355cb6-c24b-4a3f-9621-5532a6a63657", + "metadata": {}, + "outputs": [], + "source": [ + "#Function 6\n", + "def print_updated_inventory (inventory):\n", + " print(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "aa846742-a705-41ce-9b4a-2292ff66858c", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity available for t-shirt: 5\n", + "Enter the quantity available for mug: 5\n", + "Enter the quantity available for hat: 5\n", + "Enter the quantity available for book: 5\n", + "Enter the quantity available for keychain: 5\n", + "Enter the other product that customer wants: hat\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: book\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: mug\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: t-shirt\n", + "Would you like to add another product?(Answer only Yes or No) yes\n", + "Enter the other product that customer wants: keychain\n", + "Would you like to add another product?(Answer only Yes or No) no\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 5\n", + "Percentage of Products Ordered: 10.0 %\n", + "{'t-shirt': 4, 'mug': 4, 'hat': 4, 'book': 4, 'keychain': 4}\n" + ] + } + ], + "source": [ + "#Step 7\n", + "\n", + "# List of products\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory =initialize_inventory(products)\n", + "customer_orders = get_customer_orders ()\n", + "update_inventory (customer_orders, inventory)\n", + "order_statistics = calculate_order_statistics (customer_orders, products)\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory (inventory)\n" + ] } ], "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 +208,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,