lab-python-data-structures

lab-python-data-structures.ipynb

@@ -1,14 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Lab | Data Structures "
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,11 +41,99 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Enter available quantity for each product:\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Enter the name of 3 products to order:\n",
+      "That product is not in the list. Please choose from: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
+      "\n",
+      "Customer ordered the following products:\n",
+      "- mug\n",
+      "- hat\n",
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 2\n",
+      "Percentage of Products Ordered: 40.00%\n",
+      "\n",
+      "Updated Inventory:\n",
+      "T-shirt: 3\n",
+      "Mug: 1\n",
+      "Hat: 3\n",
+      "Book: 1\n",
+      "Keychain: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "#2. Create an empty dictionary called `inventory`.\n",
+    "inventory = {}\n",
+    "\n",
+    "#3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
+    "print(\"Enter available quantity for each product:\")\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"{product.capitalize()}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "#4. Create an empty set called `customer_orders`.\n",
+    "customer_orders = set()\n",
+    "\n",
+    "#5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
+    "print(\"\\nEnter the name of 3 products to order:\")\n",
+    "for i in range(3):\n",
+    "    order = input(f\"Product #{i+1}: \").strip().lower()\n",
+    "    if order in products:\n",
+    "        customer_orders.add(order)\n",
+    "    else:\n",
+    "        print(\"That product is not in the list. Please choose from:\", products)\n",
+    "\n",
+    "#6. Print the products in the `customer_orders` set.\n",
+    "print(\"\\nCustomer ordered the following products:\")\n",
+    "for item in customer_orders:\n",
+    "    print(\"-\", item)\n",
+    "\n",
+    "#7. Calculate the following order statistics:\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "#8. Print the order statistics using the desired format\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]:.2f}%\")\n",
+    "\n",
+    "#9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "for item in customer_orders:\n",
+    "    if inventory[item] > 0:\n",
+    "        inventory[item] -= 1\n",
+    "\n",
+    "#10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product in products:\n",
+    "    print(f\"{product.capitalize()}: {inventory[product]}\")\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +147,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,