diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..00e93660 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,6 +50,229 @@
     "\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": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['t-shirt', 'mug', 'hat', 'book', 'keychain']"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 1. \n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2.\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Number of t-shirt: 12\n",
+      "Number of mug: 22\n",
+      "Number of hat: 23\n",
+      "Number of book: 44\n",
+      "Number of keychain: 55\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 12, 'mug': 22, 'hat': 23, 'book': 44, 'keychain': 55}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 3.\n",
+    "for product in products:\n",
+    "    value = int(input(f\"Number of {product}:\"))\n",
+    "    inventory[product] = value\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4.\n",
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Choose a product from the list: mug\n",
+      "Choose a product from the list: Mug\n",
+      "Choose a product from the list: mug\n",
+      "Choose a product from the list: banana\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This product is not available\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Choose a product from the list: Book\n",
+      "Choose a product from the list: hat\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 5.\n",
+    "\n",
+    "while len(customer_orders) < 3:\n",
+    "    user_products = input(\"Choose a product from the list:\")\n",
+    "    user_products = user_products.lower()\n",
+    "    if user_products in products:\n",
+    "        customer_orders.add(user_products)\n",
+    "    else:\n",
+    "        print(f\"This product is not available\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'mug', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 6.\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 60.0)"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 7.\n",
+    "total = (len(customer_orders))\n",
+    "percentage = len(customer_orders)/len(products)*100\n",
+    "order_status = (total, percentage)\n",
+    "type(order_status)\n",
+    "order_status"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total products ordered: 3\n",
+      "Percentage of products ordered: 60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 8.\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total products ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of products ordered: {order_status[1]}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 9.\n",
+    "for product in customer_orders:\n",
+    "    actual_quantity_product = inventory[product]\n",
+    "    new_quantity = actual_quantity_product -1\n",
+    "    inventory[product] = new_quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 12, 'mug': 20, 'hat': 21, 'book': 42, 'keychain': 55}"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 10.\n",
+    "inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +291,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,