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..85db156 --- /dev/null +++ b/.ipynb_checkpoints/lab-python-list-comprehension-checkpoint.ipynb @@ -0,0 +1,297 @@ +{ + "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": 78, + "id": "30f3bb8b-4519-4c25-b8a2-66e35a556dff", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 1: Initialize inventory using comprehension\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" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "a8b81286-942c-4e16-9d8a-eceeebba5525", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 2: Get customer orders using comprehension\n", + "def get_customer_orders():\n", + " products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + " num_orders = int(input(\"Enter the number of customer orders: \"))\n", + " customer_orders = {input(f\"Enter the name of product: \") for i in range(num_orders)} \n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "487083ab-5ca8-4ec3-b501-9fd89a396023", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 3: Calculate total price of customer orders\n", + "def calculate_total_price(customer_orders):\n", + " total_price = sum(float(input(f\"Enter the price of {product}: \")) for product in customer_orders)\n", + " return total_price" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "47e6f777-2f47-467d-953c-823a14810122", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 4: Update inventory and remove products with zero quantity\n", + "def update_inventory(customer_orders, inventory):\n", + " inventory = {product: inventory[product] - 1 for product in customer_orders if product in inventory and inventory[product] > 0}\n", + " inventory = {product: quantity for product, quantity in inventory.items() if quantity > 0} # Remove products with zero quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "49087b5f-59cc-45ce-bc4a-9bfebf07ae81", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 5: Calculate order 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" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "b547e64c-f54b-44f9-a6c4-b64659270f1c", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 6: Print order statistics\n", + "def print_order_statistics(order_statistics):\n", + " print(\"Order Statistics:\")\n", + " print(\"Total Products Ordered:\", order_statistics[0])\n", + " print(\"Percentage of Unique Products Ordered:\", order_statistics[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "c2f016ab-866d-468e-951b-e0ae67d3221c", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 7: Print updated inventory\n", + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "bd50bce8-bddc-44c9-a10c-1d267e05b6d3", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "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: 4\n", + "Enter the name of product: mug\n", + "Enter the name of product: book\n", + "Enter the name of product: hat\n", + "Enter the name of product: keychain\n", + "Enter the price of mug: 5\n", + "Enter the price of hat: 10\n", + "Enter the price of book: 3\n", + "Enter the price of keychain: 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 4\n", + "Percentage of Unique Products Ordered: 80.0\n", + "Updated Inventory:\n", + "mug: 3\n", + "hat: 2\n", + "book: 1\n", + "Total Price: 20.00\n" + ] + } + ], + "source": [ + "# Step 8: Main function\n", + "def main():\n", + " products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + " inventory = initialize_inventory(products)\n", + " customer_orders = get_customer_orders()\n", + " total_price = calculate_total_price(customer_orders)\n", + " inventory = 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", + " print(f\"Total Price: {total_price:.2f}\")\n", + "\n", + "\n", + "# Execute the program\n", + "main()" + ] + }, + { + "cell_type": "markdown", + "id": "0f12fbd8-8dcb-4594-b6e2-cd31a2f9fd86", + "metadata": {}, + "source": [ + "##### " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b300f6ae-95d7-4a3a-a1d1-ee3f31bbdc87", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a60206cd-7639-4834-b1f5-214f089d6173", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "153b2379-3fd9-47ae-84bd-6ecc30e53b09", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5f6e2753-7c4d-42a6-b56e-1c259c90fc35", + "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-list-comprehension.ipynb b/lab-python-list-comprehension.ipynb index 5a3c3e1..ac6b419 100644 --- a/lab-python-list-comprehension.ipynb +++ b/lab-python-list-comprehension.ipynb @@ -75,13 +75,169 @@ "\n", "```\n" ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "30f3bb8b-4519-4c25-b8a2-66e35a556dff", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 1: Initialize inventory using comprehension\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" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "a8b81286-942c-4e16-9d8a-eceeebba5525", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 2: Get customer orders using comprehension\n", + "def get_customer_orders():\n", + " products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + " num_orders = int(input(\"Enter the number of customer orders: \"))\n", + " customer_orders = {input(f\"Enter the name of product: \") for i in range(num_orders)} \n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "487083ab-5ca8-4ec3-b501-9fd89a396023", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 3: Calculate total price of customer orders\n", + "def calculate_total_price(customer_orders):\n", + " total_price = sum(float(input(f\"Enter the price of {product}: \")) for product in customer_orders)\n", + " return total_price" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "47e6f777-2f47-467d-953c-823a14810122", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 4: Update inventory and remove products with zero quantity\n", + "def update_inventory(customer_orders, inventory):\n", + " inventory = {product: inventory[product] - 1 for product in customer_orders if product in inventory and inventory[product] > 0}\n", + " inventory = {product: quantity for product, quantity in inventory.items() if quantity > 0} # Remove products with zero quantity\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "49087b5f-59cc-45ce-bc4a-9bfebf07ae81", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 5: Calculate order 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" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "b547e64c-f54b-44f9-a6c4-b64659270f1c", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 6: Print order statistics\n", + "def print_order_statistics(order_statistics):\n", + " print(\"Order Statistics:\")\n", + " print(\"Total Products Ordered:\", order_statistics[0])\n", + " print(\"Percentage of Unique Products Ordered:\", order_statistics[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "c2f016ab-866d-468e-951b-e0ae67d3221c", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 7: Print updated inventory\n", + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "bd50bce8-bddc-44c9-a10c-1d267e05b6d3", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "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: 4\n", + "Enter the name of product: mug\n", + "Enter the name of product: book\n", + "Enter the name of product: hat\n", + "Enter the name of product: keychain\n", + "Enter the price of mug: 5\n", + "Enter the price of hat: 10\n", + "Enter the price of book: 3\n", + "Enter the price of keychain: 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 4\n", + "Percentage of Unique Products Ordered: 80.0\n", + "Updated Inventory:\n", + "mug: 3\n", + "hat: 2\n", + "book: 1\n", + "Total Price: 20.00\n" + ] + } + ], + "source": [ + "# Step 8: Main function\n", + "def main():\n", + " products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + " inventory = initialize_inventory(products)\n", + " customer_orders = get_customer_orders()\n", + " total_price = calculate_total_price(customer_orders)\n", + " inventory = 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", + " print(f\"Total Price: {total_price:.2f}\")\n", + "\n", + "\n", + "# Execute the program\n", + "main()" + ] } ], "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": { @@ -93,7 +249,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.12.7" } }, "nbformat": 4,