diff --git a/.ipynb_checkpoints/lab-python-list-comprehension-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-list-comprehension-checkpoint.ipynb new file mode 100644 index 0000000..5a9e5b2 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-list-comprehension-checkpoint.ipynb @@ -0,0 +1,280 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e", + "metadata": {}, + "source": [ + "# Lab | List, Dict and Set Comprehension" + ] + }, + { + "cell_type": "markdown", + "id": "7dd3cbde-675a-4b81-92c3-f728846dbe06", + "metadata": {}, + "source": [ + "## Exercise: Managing Customer Orders Optimized with Comprehension" + ] + }, + { + "cell_type": "markdown", + "id": "5d500160-2fb7-4777-b5e4-09d45ebaf328", + "metadata": {}, + "source": [ + "In the previous exercise, you developed a program to manage customer orders and inventory. Now, let's take it a step further and incorporate comprehension into your code.\n", + "\n", + "Follow the steps below to complete the exercise:\n", + "\n", + "1. Review your code from the previous exercise and identify areas where you can apply comprehension to simplify and streamline your code. \n", + "\n", + " - *Hint: Apply it to initialize inventory, updating the inventory and printing the updated inventory.*\n", + " \n", + " - For example, in initializing the inventory, we could have:\n", + " \n", + " ```python\n", + " def initialize_inventory(products):\n", + " inventory = {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}\n", + " return inventory\n", + "\n", + " ```\n", + "
\n", + " \n", + " \n", + "2. Modify the function get_customer_orders so it prompts the user to enter the number of customer orders and gathers the product names using a loop and user input. Use comprehension.\n", + "\n", + "3. Add a new function to calculate the total price of the customer order. For each product in customer_orders, prompt the user to enter the price of that product. Use comprehension to calculate the total price. Note: assume that the user can only have 1 unit of each product.\n", + "\n", + "4. Modify the update_inventory function to remove the product from the inventory if its quantity becomes zero after fulfilling the customer orders. Use comprehension to filter out the products with a quantity of zero from the inventory.\n", + "\n", + "5. Print the total price of the customer order.\n", + "\n", + "Your code should produce output similar to the following:\n", + "\n", + "```python\n", + "Enter the quantity of t-shirts available: 5\n", + "Enter the quantity of mugs available: 4\n", + "Enter the quantity of hats available: 3\n", + "Enter the quantity of books available: 2\n", + "Enter the quantity of keychains available: 1\n", + "Enter the number of customer orders: 2\n", + "Enter the name of a product that a customer wants to order: hat\n", + "Enter the name of a product that a customer wants to order: keychain\n", + "\n", + "Order Statistics:\n", + "Total Products Ordered: 2\n", + "Percentage of Unique Products Ordered: 40.0\n", + "\n", + "Updated Inventory:\n", + "t-shirt: 5\n", + "mug: 4\n", + "hat: 2\n", + "book: 2\n", + "Enter the price of keychain: 5\n", + "Enter the price of hat: 10\n", + "Total Price: 15.0\n", + "\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "689cbc7c-09f9-4d92-bacd-77fbe03e91e3", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity of t-shirts available: 10\n", + "Enter the quantity of mugs available: 5\n", + "Enter the quantity of hats available: 10\n", + "Enter the quantity of books available: 10\n", + "Enter the quantity of keychains available: 10\n" + ] + } + ], + "source": [ + "#1\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}\n", + "\n", + "def initialize_inventory(products):\n", + " inventory = {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}\n", + " return inventory\n", + "\n", + "inventory = initialize_inventory(products)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "8234cf71-7e06-4323-ab59-d65d8c9cd709", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the number of customer orders: 3\n", + "Enter the name of a product that a customer wants to order: hat\n", + "Enter the name of a product that a customer wants to order: book\n", + "Enter the name of a product that a customer wants to order: keychain\n" + ] + } + ], + "source": [ + "#2. Modify the function get_customer_orders so it prompts the user to enter the number of customer orders \n", + "# and gathers the product names using a loop and user input. Use comprehension.\n", + "\n", + "def get_customer_orders():\n", + " num_orders = int(input(\"Enter the number of customer orders:\"))\n", + " customer_orders = {input(\"Enter the name of a product that a customer wants to order: \"): 1 for i in range(num_orders)}\n", + " return customer_orders\n", + "\n", + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "4b9aadc2-434e-4cf2-9987-c4c01f9412f8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total products ordered: 3\n", + "Percentage of unique products ordered: 60.00%\n" + ] + }, + { + "data": { + "text/plain": [ + "(3, 60.0)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = sum(customer_orders.values()) \n", + " unique_products_ordered = len(customer_orders) \n", + " total_unique_products = len(products) \n", + " \n", + " percentage_unique = (unique_products_ordered / total_unique_products) * 100\n", + "\n", + " print(f\"Total products ordered: {total_products_ordered}\")\n", + " print(f\"Percentage of unique products ordered: {percentage_unique:.2f}%\")\n", + "\n", + " return total_products_ordered, percentage_unique\n", + "\n", + "\n", + "calculate_order_statistics(customer_orders, products)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "fe575a6b-b160-429e-aa62-7801693c1db4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated inventory: \n", + "{'t-shirt': 10, 'mug': 5, 'hat': 7, 'book': 7, 'keychain': 7}\n" + ] + } + ], + "source": [ + "#3. Add a new function to calculate the total price of the customer order. For each product in customer_orders, \n", + "# prompt the user to enter the price of that product. \n", + "# Use comprehension to calculate the total price. Note: assume that the user can only have 1 unit of each product.\n", + "\n", + "def update_inventory(customer_orders, inventory):\n", + " inventory = {item: (inventory[item] - 1) if item in customer_orders else inventory[item] for item in inventory}\n", + " print(f\"Updated inventory: \\n{inventory}\")\n", + "\n", + "inventory = update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "6826bec6-7218-4526-8176-9f60b5103eb6", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the price of hats: 10\n", + "Enter the price of books: 5\n", + "Enter the price of keychains: 10\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Price: 25\n" + ] + }, + { + "data": { + "text/plain": [ + "25" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def total_price(customer_orders):\n", + " item_prices = {order: int(input(f\"Enter the price of {order}s: \")) for order in customer_orders}\n", + " total_cost = sum(item_prices.values())\n", + " print(f\"Total Price: {total_cost}\")\n", + " return total_cost\n", + "\n", + "total_price(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11956625-3545-4dea-a360-0293e5266316", + "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 +}