diff --git a/lab-python-list-comprehension.ipynb b/lab-python-list-comprehension.ipynb
index 5a3c3e1..09fc9ed 100644
--- a/lab-python-list-comprehension.ipynb
+++ b/lab-python-list-comprehension.ipynb
@@ -75,11 +75,102 @@
     "\n",
     "```\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ba2530dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inventario:  {'t-shirt': 1, 'mug': 2, 'hat': 1, 'book': 1, 'keychain': 1}\n",
+      "Customer Orders:  ['mug', 'mug', 'hat']\n",
+      "Order Statistics:  (2, 40.0)\n",
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 2\n",
+      "Percentage of Unique Products Ordered: 40.00%\n",
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt: 1\n",
+      "mug: 1\n",
+      "book: 1\n",
+      "keychain: 1\n",
+      "Total Price: 2.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Review your code from the previous exercise and identify areas where you can apply comprehension to simplify and streamline your code. \n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "def initialize_inventory(products):\n",
+    "    inventory = {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}\n",
+    "    return inventory\n",
+    "\n",
+    "inventory = initialize_inventory(products)\n",
+    "print(\"Inventario: \", inventory)\n",
+    "\n",
+    "#*Hint: Apply it to initialize inventory, updating the inventory and printing the updated inventory.*\n",
+    "\n",
+    "# 2. Modify the function get_customer_orders so it prompts the user to enter the number of customer orders and gathers the \n",
+    "# product names using a loop and user input. Use comprehension.\n",
+    "def get_customer_orders():\n",
+    "    num_orders = int(input(\"Enter the number of customer orders: \"))\n",
+    "    return [input(\"Enter the name of a product that a customer wants to order: t-shirt, mug, hat, book, keychain \").strip().lower()\n",
+    "            for _ in range(num_orders)]\n",
+    "\n",
+    "customer_orders = get_customer_orders()\n",
+    "print(\"Customer Orders: \", customer_orders)\n",
+    "  \n",
+    "# 3. Add a new function to calculate the total price of the customer order. For each product in customer_orders, prompt the user\n",
+    "#  to enter the price of that product. Use comprehension to calculate the total price. Note: assume that the user can only have 1 unit of each product.\n",
+    "def get_total_price(customer_orders):\n",
+    "    unique_orders = list(dict.fromkeys(customer_orders))  # 1 unidad por producto (preserva orden)\n",
+    "    total_price = sum(float(input(f\"Enter the price of {product}: \")) for product in unique_orders)\n",
+    "    return total_price\n",
+    "\n",
+    "# 4. Modify the update_inventory function to remove the product from the inventory if its quantity becomes zero after fulfilling the customer\n",
+    "#  orders. Use comprehension to filter out the products with a quantity of zero from the inventory.\n",
+    "\n",
+    "def update_inventory(customer_orders, inventory): \n",
+    "    u = set(customer_orders)  # 1 unidad por producto\n",
+    "    inventory = {p: (q - (1 if p in u else 0)) for p, q in inventory.items() if (q - (1 if p in u else 0)) > 0}\n",
+    "    return inventory\n",
+    " \n",
+    "\n",
+    "# 5. Print the total price of the customer order.\n",
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered = len(set(customer_orders))\n",
+    "    percentage_unique_products_ordered = (len(set(customer_orders)) / len(products)) * 100\n",
+    "    return total_products_ordered, percentage_unique_products_ordered\n",
+    "\n",
+    "order_statistics = calculate_order_statistics(customer_orders, products)\n",
+    "print(\"Order Statistics: \", order_statistics)\n",
+    "\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    total_products_ordered, percentage_unique_products_ordered = order_statistics\n",
+    "    print(f\"Total products ordered: {total_products_ordered}\")\n",
+    "    print(f\"Percentage of unique products ordered: {percentage_unique_products_ordered:.2f}%\")\n",
+    "\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_statistics[0]}\")\n",
+    "print(f\"Percentage of Unique Products Ordered: {order_statistics[1]:.2f}%\")\n",
+    "\n",
+    "inventory = update_inventory(customer_orders, inventory)\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "[print(f\"{p}: {inventory[p]}\") for p in products if p in inventory]\n",
+    "\n",
+    "total_price = get_total_price(customer_orders)\n",
+    "print(f\"Total Price: {total_price}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -93,7 +184,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.9"
   }
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  "nbformat": 4,