diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..2b1a50a2 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,241 @@
     "\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": [
+      "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
+    "print(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{}\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = {}\n",
+    "print(inventory)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 7, 'hat': 3, 'book': 8, 'keychain': 9}\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory['t-shirt'] = int(input('Enter the quantity available for t-shirt: '))\n",
+    "inventory['mug'] = int(input('Enter the quantity available for mug: '))\n",
+    "inventory['hat'] = int(input('Enter the quantity available for hat: '))\n",
+    "inventory['book'] = int(input('Enter the quantity available for book: '))\n",
+    "inventory['keychain'] = int(input('Enter the quantity available for keychain: '))\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "book mug hat\n"
+     ]
+    }
+   ],
+   "source": [
+    "product_1 = input('Enter the product 1: ')\n",
+    "product_2 = input('Enter the product 2: ')\n",
+    "product_3 = input('Enter the product 3:')\n",
+    "print(product_1, product_2, product_3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'hat', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customer_orders.add(product_1)\n",
+    "customer_orders.add(product_2)\n",
+    "customer_orders.add(product_3)\n",
+    "print(customer_orders)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_of_products_ordered = (total_products_ordered / len(products)) * 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order_status = (total_products_ordered, percentage_of_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 60.0)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "order_status"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total products ordered: 3\n",
+      "Percentage of products ordered: 60.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Order Statistics:')\n",
+    "print('Total products ordered:', order_status[0])\n",
+    "print('Percentage of products ordered:', order_status[1], '%')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 6, 'hat': 2, 'book': 7, 'keychain': 8}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 4\n",
+      "mug: 6\n",
+      "hat: 2\n",
+      "book: 7\n",
+      "keychain: 8\n"
+     ]
+    }
+   ],
+   "source": [
+    "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'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +298,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.4"
   }
  },
  "nbformat": 4,