diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..f47cc452 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,6 +50,224 @@
     "\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": [
+    "#1\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory ={}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Quantify t-shirt product:  5\n",
+      "Quantify mug product:  4\n",
+      "Quantify hat product:  7\n",
+      "Quantify book product:  3\n",
+      "Quantify keychain product:  2\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 4, 'hat': 7, 'book': 3, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#3 \n",
+    "inventory = {\"t-shirt\": 0,\n",
+    "             \"mug\": 0,\n",
+    "             \"hat\": 0,\n",
+    "             \"book\": 0,\n",
+    "             \"keychain\": 0}\n",
+    "inventory[\"t-shirt\"] = int(input(\"Quantify t-shirt product: \"))\n",
+    "inventory[\"mug\"] = int(input(\"Quantify mug product: \"))\n",
+    "inventory[\"hat\"] = int(input(\"Quantify hat product: \"))\n",
+    "inventory[\"book\"] = int(input(\"Quantify book product: \"))\n",
+    "inventory[\"keychain\"] = int(input(\"Quantify keychain product: \"))\n",
+    "\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#4\n",
+    "costumer_orders = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Add first product:  hat\n",
+      "Add second product:  t-shirt\n",
+      "Add third product:  mug\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['hat', 't-shirt', 'mug']\n"
+     ]
+    }
+   ],
+   "source": [
+    "#5 and 6\n",
+    "\n",
+    "customer_orders = []\n",
+    "\n",
+    "customer_orders.append(input(\"Add first product: \").lower())\n",
+    "customer_orders.append(input(\"Add second product: \").lower())\n",
+    "customer_orders.append(input(\"Add third product: \").lower())\n",
+    "\n",
+    "print(customer_orders)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Add first product:  mug\n",
+      "Add second product:  t-shirt\n",
+      "Add third product:  hat\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders: {'hat', 't-shirt', 'mug'}\n",
+      "Order status: (3, 60.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#7\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "customer_orders = set()\n",
+    "\n",
+    "customer_orders.add(input(\"Add first product: \").lower())\n",
+    "customer_orders.add(input(\"Add second product: \").lower())\n",
+    "customer_orders.add(input(\"Add third product: \").lower())\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_of_products_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_of_products_ordered)\n",
+    "\n",
+    "print(\"Customer orders:\", customer_orders)\n",
+    "print(\"Order status:\", order_status)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "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]}%\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#9\n",
+    "\n",
+    "inventory[\"t-shirt\"] -= (\"t-shirt\" in customer_orders)\n",
+    "inventory[\"mug\"] -= (\"mug\" in customer_orders)\n",
+    "inventory[\"hat\"] -= (\"hat\" in customer_orders)\n",
+    "inventory[\"book\"] -= (\"book\" in customer_orders)\n",
+    "inventory[\"keychain\"] -= (\"keychain\" in customer_orders)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "t-shirt: 4\n",
+      "mug: 3\n",
+      "hat: 6\n",
+      "book: 3\n",
+      "keychain: 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "#10\n",
+    "\n",
+    "print(\"Updated Inventory:\")\n",
+    "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']}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +286,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,