diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..ad1c6b56 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,230 @@
     "\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": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define a list called products that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#2. Create an empty dictionary called `inventory`.\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Number of t-shirt:  4\n",
+      "Number of mug:  5\n",
+      "Number of hat:  6\n",
+      "Number of book:  8\n",
+      "Number of keychain:  9\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 8, 'keychain': 9}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
+    "for item in products:\n",
+    "    inventory[item] = int(input(\"Number of \" + item + \": \"))\n",
+    "print(inventory)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4. Create an empty set called `customer_orders`.\n",
+    "customer_orders = set ()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Choose a product:  hat\n",
+      "Choose a product:  book\n",
+      "Choose a product:  tshirt\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
+    "for i in range(3):\n",
+    "    product = input(\"Choose a product: \")\n",
+    "    customer_orders.add(product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders: {'tshirt', 'book', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 6. Print the products in the `customer_orders` set.\n",
+    "print(\"Customer orders:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order status: (3, 60.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 7. Calculate the following order statistics:\n",
+    "  # - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
+    "total = len(customer_orders)\n",
+    "\n",
+    "  #- Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
+    "percentage = (total / len(products)) * 100\n",
+    "\n",
+    "  #Store these statistics in a tuple called `order_status`.\n",
+    "order_status = (total, percentage)\n",
+    "\n",
+    "print(\"Order status:\", order_status)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "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. Print the order statistics using the following format:\n",
+    "   #``` Order Statistics:\n",
+    "   # Total Products Ordered: <total_products_ordered>\n",
+    "   #Percentage of Products Ordered: <percentage_ordered>% \n",
+    "\n",
+    "print(\"Order Statistics:\")\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 5, 'hat': 5, 'book': 7, 'keychain': 9}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "for item in inventory:\n",
+    "    if item in customer_orders:\n",
+    "        inventory[item] -= 1\n",
+    "print (inventory) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "t-shirt: 4\n",
+      "mug: 5\n",
+      "hat: 5\n",
+      "book: 7\n",
+      "keychain: 9\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "print(\"Updated Inventory:\")\n",
+    "for item, quantity in inventory.items():\n",
+    "    print(f\"{item}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# mudança qualquer"
+   ]
+  },
+  {
+   "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 +285,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,