Code to Data Structures Lab

lab-python-data-structures.ipynb

@@ -50,13 +50,117 @@
     "\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": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for t-shirt 4\n",
+      "Enter quantity for mug 5\n",
+      "Enter quantity for hat 3\n",
+      "Enter quantity for book 6\n",
+      "Enter quantity for keychain 7\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 5, 'hat': 3, 'book': 6, 'keychain': 7}\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Choose one item from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] tshirt\n",
+      "Choose one item from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n",
+      "Choose one item from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'tshirt', 'mug', 'hat'}\n",
+      "60.0\n",
+      "(3, 60.0)\n",
+      "Order statistics:\n",
+      "total products ordered: 3 \n",
+      "percentage ordered: 60.0%\n",
+      "Updated Inventory:\n",
+      "t-shirt: 3\n",
+      "mug: 4\n",
+      "hat: 2\n",
+      "book: 5\n",
+      "keychain: 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "inventory = {}\n",
+    "\n",
+    "for i in products: \n",
+    "    quantity = int(input(f\"Enter quantity for {i}\"))\n",
+    "    inventory[i] = quantity\n",
+    "\n",
+    "print(inventory)\n",
+    "\n",
+    "customer_orders = set()\n",
+    "\n",
+    "for i in range(3):\n",
+    "    order = input(f\"Choose one item from {products}\")\n",
+    "    customer_orders.add(order)\n",
+    "print(customer_orders)\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "\n",
+    "percentage_ordered = (total_products_ordered/len(products))* 100\n",
+    "\n",
+    "print(percentage_ordered)\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "print(order_status)\n",
+    "\n",
+    "print(f\"Order statistics:\")\n",
+    "print(f\"total products ordered: {order_status[0]} \")\n",
+    "print(f\"percentage ordered: {order_status[1]}%\")\n",
+    "\n",
+    "\n",
+    "inventory[\"t-shirt\"] = inventory[\"t-shirt\"] - 1\n",
+    "inventory[\"mug\"] = inventory[\"mug\"] - 1\n",
+    "inventory[\"hat\"] = inventory[\"hat\"] - 1\n",
+    "inventory[\"book\"] = inventory[\"book\"] - 1\n",
+    "inventory[\"keychain\"] = inventory[\"keychain\"] - 1\n",
+    "\n",
+    "print(\"Updated Inventory:\")\n",
+    "print(\"t-shirt:\", inventory[\"t-shirt\"])\n",
+    "print(\"mug:\", inventory[\"mug\"])\n",
+    "print(\"hat:\", inventory[\"hat\"])\n",
+    "print(\"book:\", inventory[\"book\"])\n",
+    "print(\"keychain:\", inventory[\"keychain\"])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "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": {
@@ -68,7 +172,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,