diff --git a/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb new file mode 100644 index 0000000..44d337b --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-checkpoint.ipynb @@ -0,0 +1,69 @@ +{ + "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/.ipynb_checkpoints/lab-python-functions-max-pisolkar-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-functions-max-pisolkar-checkpoint.ipynb new file mode 100644 index 0000000..62de4a3 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-functions-max-pisolkar-checkpoint.ipynb @@ -0,0 +1,115 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 36, + "id": "083ecb10-b75c-425c-b02f-7ca2521478d7", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2b8513a-0b04-451d-bdde-9853c06e38de", + "metadata": {}, + "outputs": [], + "source": [ + "# Global list of products\n", + "products = [\"apple\", \"banana\", \"orange\", \"bread\", \"milk\"]\n", + "\n", + "def initialize_inventory(products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity = int(input(f\"Enter quantity for {product}: \"))\n", + " inventory[product] = quantity\n", + " return(inventory)\n", + "\n", + "def get_customer_orders():\n", + " customer_orders=set()\n", + " answer = input(f\"Would you like to add an item? (Yes or No)\").strip().lower()\n", + " while answer == \"yes\":\n", + " name = str(input(f\"Enter name of item:\")).strip().lower()\n", + " if name in products:\n", + " customer_orders.add(name)\n", + " else:\n", + " print(\"Item not in stock, please choose another.\")\n", + " answer = input(\"Would you like to add another item? (Yes or No): \").strip().lower()\n", + " else:print(\"Thank you for visiting the shop :)\")\n", + " print(\"The items you want to order are: \" + \", \".join(customer_orders))\n", + " return customer_orders\n", + "\n", + "def update_inventory(customer_orders, inventory):\n", + " for item in customer_orders:\n", + " if item in inventory:\n", + " inventory[item] -= 1\n", + " print(f\"{item} inventory updated. Remaining: {inventory[item]}\")\n", + " else:\n", + " print(f\"{item} is not found in the inventory.\")\n", + " return inventory\n", + "\n", + "def calculate_order_statistics (customer_orders, products):\n", + " total_number_products= len(customer_orders)\n", + " percentage_ordered = (total_number_products / len(products)) * 100\n", + " return total_number_products, percentage_ordered\n", + "\n", + "def print_order_statistics(order_stats):\n", + " print(f\"Total number of products ordered: {order_stats[0]}\")\n", + " print(f\"Total number of unique products ordered: {order_stats[0]}\")\n", + "\n", + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + " for item, qty in inventory.items():\n", + " print(f\"{item}: {qty}\")\n", + "\n", + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "updated_inventory = update_inventory(customer_orders, inventory)\n", + "order_stats = calculate_order_statistics(customer_orders, products)\n", + " \n", + "print_order_statistics(order_stats)\n", + "print_updated_inventory(updated_inventory)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25e9bd35-a51a-4090-be8b-cb09a62a46dd", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1528a688-452b-4cc2-afd7-b5042b8dfda7", + "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-max-pisolkar.ipynb b/lab-python-functions-max-pisolkar.ipynb new file mode 100644 index 0000000..62de4a3 --- /dev/null +++ b/lab-python-functions-max-pisolkar.ipynb @@ -0,0 +1,115 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 36, + "id": "083ecb10-b75c-425c-b02f-7ca2521478d7", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2b8513a-0b04-451d-bdde-9853c06e38de", + "metadata": {}, + "outputs": [], + "source": [ + "# Global list of products\n", + "products = [\"apple\", \"banana\", \"orange\", \"bread\", \"milk\"]\n", + "\n", + "def initialize_inventory(products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity = int(input(f\"Enter quantity for {product}: \"))\n", + " inventory[product] = quantity\n", + " return(inventory)\n", + "\n", + "def get_customer_orders():\n", + " customer_orders=set()\n", + " answer = input(f\"Would you like to add an item? (Yes or No)\").strip().lower()\n", + " while answer == \"yes\":\n", + " name = str(input(f\"Enter name of item:\")).strip().lower()\n", + " if name in products:\n", + " customer_orders.add(name)\n", + " else:\n", + " print(\"Item not in stock, please choose another.\")\n", + " answer = input(\"Would you like to add another item? (Yes or No): \").strip().lower()\n", + " else:print(\"Thank you for visiting the shop :)\")\n", + " print(\"The items you want to order are: \" + \", \".join(customer_orders))\n", + " return customer_orders\n", + "\n", + "def update_inventory(customer_orders, inventory):\n", + " for item in customer_orders:\n", + " if item in inventory:\n", + " inventory[item] -= 1\n", + " print(f\"{item} inventory updated. Remaining: {inventory[item]}\")\n", + " else:\n", + " print(f\"{item} is not found in the inventory.\")\n", + " return inventory\n", + "\n", + "def calculate_order_statistics (customer_orders, products):\n", + " total_number_products= len(customer_orders)\n", + " percentage_ordered = (total_number_products / len(products)) * 100\n", + " return total_number_products, percentage_ordered\n", + "\n", + "def print_order_statistics(order_stats):\n", + " print(f\"Total number of products ordered: {order_stats[0]}\")\n", + " print(f\"Total number of unique products ordered: {order_stats[0]}\")\n", + "\n", + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + " for item, qty in inventory.items():\n", + " print(f\"{item}: {qty}\")\n", + "\n", + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "updated_inventory = update_inventory(customer_orders, inventory)\n", + "order_stats = calculate_order_statistics(customer_orders, products)\n", + " \n", + "print_order_statistics(order_stats)\n", + "print_updated_inventory(updated_inventory)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25e9bd35-a51a-4090-be8b-cb09a62a46dd", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1528a688-452b-4cc2-afd7-b5042b8dfda7", + "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 +}