diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..d5308ea6 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,204 @@
     "\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 Step: Define products list\n",
+    "\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#2 Step: Create an empty dictionary called \"inventory\"\n",
+    "\n",
+    "inventory = {}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the quantity of t-shirts available 4\n",
+      "Enter the quantity of mugs available 6\n",
+      "Enter the quantity of hats available 3\n",
+      "Enter the quantity of books available 2\n",
+      "Enter the quantity of keychains available 8\n"
+     ]
+    }
+   ],
+   "source": [
+    "#3 Step: Get the user input of the quantity of each product available in the inventory\n",
+    "\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter the quantity of {product}s available\"))\n",
+    "    inventory[product] = quantity\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#4 Step: Create an empty set called \"customer_orders\"\n",
+    "\n",
+    "customer_orders = set()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#5 Step: Ask the user for three products they want to order\n",
+    "\n",
+    "while len(customer_orders) < 3:\n",
+    "    product_order = input(\"Enter the name of a product to order: \")\n",
+    "    if product_order in products:\n",
+    "        customer_orders.add(product_order)\n",
+    "    else:\n",
+    "        print(f\"'{product_order}' is not available. Please choose from the list.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Products ordered by the customer: {'mug', 'book', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#6 Step: Print the ordered products\n",
+    "\n",
+    "print(\"Products ordered by the customer:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#7 Step: Total product orders in a tuple\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "total_products_available = len(products)\n",
+    "percentage_ordered = (total_products_ordered / total_products_available) * 100\n",
+    "order_status = (total_products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "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 Step: Print the order statistics in the required format\n",
+    "\n",
+    "print(\"Order Statistics:\")\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(\"Percentage of Products Ordered:\", order_status[1], \"%\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The stock of 'mug' has been updated. Remaining quantity: 3\n",
+      "Unable to fulfill the order for 'book'. Out of stock!\n",
+      "The stock of 'hat' has been updated. Remaining quantity: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#9 Step: Update the inventory y subtracting 1 from the quantity of each product. \n",
+    "\n",
+    "for product in customer_orders:\n",
+    "    if inventory[product] > 0:\n",
+    "        inventory[product] -= 1\n",
+    "        # A message indicating a successful inventory update\n",
+    "        print(f\"The stock of '{product}' has been updated. Remaining quantity: {inventory[product]}\")\n",
+    "    else:\n",
+    "        print(f\"Unable to fulfill the order for '{product}'. Out of stock!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "t-shirt: 4 units available\n",
+      "mug: 3 units available\n",
+      "hat: 0 units available\n",
+      "book: 0 units available\n",
+      "keychain: 8 units available\n"
+     ]
+    }
+   ],
+   "source": [
+    "#10 Step: Print the updated inventory\n",
+    "\n",
+    "print(\"Updated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity} units available\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -68,7 +259,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,