diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..bfea9b20 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,160 @@
     "\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": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#1.Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "products = ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
+    "\n",
+    "#2. Create an empty dictionary called `inventory`.\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 3.Ask the user quantity\n",
+    "inventory['t-shirt'] = int(input(\"Enter quantity t-shirt: \"))\n",
+    "inventory['mug'] = int(input(\"Enter quantity mug: \"))\n",
+    "inventory['hat'] = int(input(\"Enter quantity hat: \"))\n",
+    "inventory['book'] = int(input(\"Enter quantity book: \"))\n",
+    "inventory['keychain'] = int(input(\"Enter quantity keychain: \"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4.Create an empty set called `customer_orders`.\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# 5.5. Ask the user to input the name of three products that a customer wants to order \n",
+    "# \\(from those in the products list,\n",
+    "# \\ meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". \\\n",
+    "# Add each product name to the `customer_orders` set.\n",
+    "customer_orders.add(input(\"Enter first product name: \"))\n",
+    "customer_orders.add(input(\"Enter second product name: \"))\n",
+    "customer_orders.add(input(\"Enter third product name: \"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders: {'t-shirt', 'book', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 6. Print the products in the `customer_orders` set.\n",
+    "print(f\"Customer orders: {customer_orders}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#7 Calculate the following order statistics:/\n",
+    "# - Total Products Ordered: The total number of products in the `customer_orders` set. / \n",
+    "# - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
+    "# /Store these statistics in a tuple called `order_status`.\n",
+    "total_product = len(customer_orders)\n",
+    "percentage_products_ordered = (total_product / len(products)) * 100\n",
+    "order_status = (total_product, percentage_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "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. Order Statistics: \\\n",
+    "#   Total Products Ordered: <total_products_ordered> \\\n",
+    "#   Percentage of Products Ordered: <percentage_ordered>% \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": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 9. Update the inventory by subtracting 1 from the quantity of each product. /\n",
+    "# Modify the `inventory` dictionary accordingly.\n",
+    "for product in customer_orders:\n",
+    "    inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Update Inventory:\n",
+      "t-shirt:  4\n",
+      "mug:  4\n",
+      "hat:  5\n",
+      "book:  4\n",
+      "keychain:  5\n"
+     ]
+    }
+   ],
+   "source": [
+    "#10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "print(\"Update 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'])"
+   ]
+  },
+  {
+   "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 +217,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.10.2"
   }
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  "nbformat": 4,