Complete lab : Python Data Structures

lab-python-data-structures.ipynb

@@ -1,5 +1,101 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders: {'hat', 'mug', 'book'}\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0%\n",
+      "Updated Inventory:\n",
+      "t-shirt: 13\n",
+      "mug: 1\n",
+      "hat: 7\n",
+      "book: 89\n",
+      "keychain: 40\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "# step 1: define product list\n",
+    "\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "\n",
+    "\n",
+    "# step 2: create empty inventory dictionary\n",
+    "\n",
+    "inventory = {}\n",
+    "\n",
+    "\n",
+    "\n",
+    "# step 3: ask user for quantity of each product\n",
+    "\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter quantity for {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "\n",
+    "\n",
+    "# step 4: create empty set for customer orders\n",
+    "\n",
+    "customer_orders = set()\n",
+    "\n",
+    "\n",
+    "\n",
+    "# step 5: ask user to input 3 products to order\n",
+    "\n",
+    "for i in range(3):\n",
+    "    product = input(f\"Enter product {i + 1} to order: \")\n",
+    "    customer_orders.add(product)\n",
+    "\n",
+    "\n",
+    "\n",
+    "# step 6: print customer orders\n",
+    "\n",
+    "print(\"Customer orders:\", customer_orders)\n",
+    "\n",
+    "\n",
+    "\n",
+    "# step 7: calculate statistics and store in tuple\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "#print(f\"Total products ordered: {total_products_ordered}\")\n",
+    "#print(f\"Percentage of products ordered: {percentage_ordered}%\")\n",
+    "#print(\"Order status tuple:\", order_status)\n",
+    "\n",
+    "\n",
+    "# step 8: print order statistics in required format\n",
+    "\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered: {total_products_ordered}\")\n",
+    "print(f\"Percentage of Products Ordered: {percentage_ordered}%\")\n",
+    "\n",
+    "\n",
+    "for product in customer_orders:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "\n",
+    "# step 10: print updated inventory\n",
+    "\n",
+    "print(\"Updated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")\n",
+    "\n",
+    "\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -54,7 +150,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +164,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
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