diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..cf930ff3 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,165 @@
     "\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": [],
+   "source": [
+    "products =[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory[\"t-shirt\"] = int(input(\"Enter the quantity of t-shirt: \"))\n",
+    "inventory[\"mug\"] = int(input(\"Enter the quantity of mug: \"))\n",
+    "inventory[\"hat\"] = int(input(\"Enter the quantity of hat: \"))\n",
+    "inventory[\"book\"] = int(input(\"Enter the quantity of book: \"))\n",
+    "inventory[\"keychain\"] = int(input(\"Enter the quantity of keychain: \"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "product1 = input(\"Enter the first product: \")\n",
+    "customer_orders.add(product1)\n",
+    "product2 = input(\"Enter the second product: \")\n",
+    "customer_orders.add(product2)\n",
+    "product3 = input(\"Enter the third product: \")\n",
+    "customer_orders.add(product3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat', 'mug', 'book'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products_ordered = len (customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "percentage_ordered =  (products_ordered / len (products) * 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order_status = (products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "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 (f\"total products ordered: {products_ordered}\")\n",
+    "print (f\"Percentage of products ordered: {percentage_ordered}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for product in inventory:\n",
+    "    inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 2\n",
+      "mug: 3\n",
+      "hat: 4\n",
+      "book: 5\n",
+      "keychain: 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (f\"t-shirt: {inventory[\"t-shirt\"]}\")\n",
+    "print (f\"mug: {inventory[\"mug\"]}\")\n",
+    "print (f\"hat: {inventory[\"hat\"]}\")    \n",
+    "print (f\"book: {inventory[\"book\"]}\")  \n",
+    "print (f\"keychain: {inventory[\"keychain\"]}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +222,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,