diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 00000000..4988ec07
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,9 @@
+{
+    "python-envs.pythonProjects": [
+        {
+            "path": ".",
+            "envManager": "ms-python.python:system",
+            "packageManager": "ms-python.python:pip"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/Untitled-1.py b/Untitled-1.py
new file mode 100644
index 00000000..cb4b705a
--- /dev/null
+++ b/Untitled-1.py
@@ -0,0 +1,52 @@
+"c:\Users\MEL\Downloads\DATA\laboratorio1\Untitled-1.py"
+
+# Step 1: Define the products list
+from doctest import master
+
+products = ["t-shirt", "mug", "hat", "book", "keychain"]
+
+# Step 2: Create an empty inventory dictionary
+inventory = {}
+
+# Step 3: Ask the user for the quantity of each product
+for product in products:
+    quantity = int(input(f"Enter the quantity of {product}: "))
+    inventory[product] = quantity
+
+# Step 4: Create an empty set for customer orders
+customer_orders = set()
+
+# Step 5: Ask the user for the products they want to order
+for i in range(3):  # Assuming the user can order up to 3 products
+    order = input(f"Enter product {i+1} to order: ")
+    customer_orders.add(order)
+
+# Step 6: Print the customer orders 
+print("\nCustomer Orders:", customer_orders)
+
+# Step 7: Calculate order statistics
+total_products_ordered = len(customer_orders)
+percentage_ordered = (total_products_ordered / len(products)) * 100
+
+# Store in a tuple
+order_status = (total_products_ordered, percentage_ordered)
+
+# Step 8: Print the order statistics
+print("\nOrder Statistics:")
+print(f"Total Products Ordered: {order_status[0]}")
+print(f"Percentage of Products Ordered: {order_status[1]}%")
+
+# Step 9: Update inventory by subtracting 1 from each product
+for product in inventory:
+      inventory[product] -= 1
+
+# Step 10: Print the updated inventory
+print("\nUpdated Inventory:")
+for product, quantity in inventory.items():
+      print(f"{product}: {quantity}")
+
+git add .
+
+git commit -m "Solved lab"
+
+git push origin master
diff --git a/Untitled-2.py b/Untitled-2.py
new file mode 100644
index 00000000..cb4b705a
--- /dev/null
+++ b/Untitled-2.py
@@ -0,0 +1,52 @@
+"c:\Users\MEL\Downloads\DATA\laboratorio1\Untitled-1.py"
+
+# Step 1: Define the products list
+from doctest import master
+
+products = ["t-shirt", "mug", "hat", "book", "keychain"]
+
+# Step 2: Create an empty inventory dictionary
+inventory = {}
+
+# Step 3: Ask the user for the quantity of each product
+for product in products:
+    quantity = int(input(f"Enter the quantity of {product}: "))
+    inventory[product] = quantity
+
+# Step 4: Create an empty set for customer orders
+customer_orders = set()
+
+# Step 5: Ask the user for the products they want to order
+for i in range(3):  # Assuming the user can order up to 3 products
+    order = input(f"Enter product {i+1} to order: ")
+    customer_orders.add(order)
+
+# Step 6: Print the customer orders 
+print("\nCustomer Orders:", customer_orders)
+
+# Step 7: Calculate order statistics
+total_products_ordered = len(customer_orders)
+percentage_ordered = (total_products_ordered / len(products)) * 100
+
+# Store in a tuple
+order_status = (total_products_ordered, percentage_ordered)
+
+# Step 8: Print the order statistics
+print("\nOrder Statistics:")
+print(f"Total Products Ordered: {order_status[0]}")
+print(f"Percentage of Products Ordered: {order_status[1]}%")
+
+# Step 9: Update inventory by subtracting 1 from each product
+for product in inventory:
+      inventory[product] -= 1
+
+# Step 10: Print the updated inventory
+print("\nUpdated Inventory:")
+for product, quantity in inventory.items():
+      print(f"{product}: {quantity}")
+
+git add .
+
+git commit -m "Solved lab"
+
+git push origin master
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..c84db169 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,68 @@
     "\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": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 1: Define the products list\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "# Step 2: Create an empty inventory dictionary\n",
+    "inventory = {}\n",
+    "\n",
+    "# Step 3: Ask the user for the quantity of each product\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "# Step 4: Create an empty set for customer orders\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# Step 5: Ask the user for the products they want to order\n",
+    "for i in range(3):\n",
+    "    order = input(f\"Enter product {i+1} to order: \")\n",
+    "    customer_orders.add(order)\n",
+    "\n",
+    "# Step 6: Print the customer orders\n",
+    "print(\"\\nCustomer Orders:\", customer_orders)\n",
+    "\n",
+    "# Step 7: Calculate order statistics\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "# Store in a tuple\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "# Step 8: Print the order statistics\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n",
+    "\n",
+    "# Step 9: Update inventory by subtracting 1 from each product\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "# Step 10: Print the updated inventory\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "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 +125,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.10.20"
   }
  },
  "nbformat": 4,
diff --git a/lab-python-data-structureslab1.ipynb b/lab-python-data-structureslab1.ipynb
new file mode 100644
index 00000000..c84db169
--- /dev/null
+++ b/lab-python-data-structureslab1.ipynb
@@ -0,0 +1,133 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Lab | Data Structures "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise: Managing Customer Orders\n",
+    "\n",
+    "As part of a business venture, you are starting an online store that sells various products. To ensure smooth operations, you need to develop a program that manages customer orders and inventory.\n",
+    "\n",
+    "Follow the steps below to complete the exercise:\n",
+    "\n",
+    "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "\n",
+    "2. Create an empty dictionary called `inventory`.\n",
+    "\n",
+    "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",
+    "\n",
+    "4. Create an empty set called `customer_orders`.\n",
+    "\n",
+    "5. 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",
+    "\n",
+    "6. Print the products in the `customer_orders` set.\n",
+    "\n",
+    "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",
+    "   \n",
+    "   Store these statistics in a tuple called `order_status`.\n",
+    "\n",
+    "8. Print the order statistics using the following format:\n",
+    "   ```\n",
+    "   Order Statistics:\n",
+    "   Total Products Ordered: <total_products_ordered>\n",
+    "   Percentage of Products Ordered: <percentage_ordered>% \n",
+    "   ```\n",
+    "\n",
+    "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "\n",
+    "10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "\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": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 1: Define the products list\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "# Step 2: Create an empty inventory dictionary\n",
+    "inventory = {}\n",
+    "\n",
+    "# Step 3: Ask the user for the quantity of each product\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "# Step 4: Create an empty set for customer orders\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# Step 5: Ask the user for the products they want to order\n",
+    "for i in range(3):\n",
+    "    order = input(f\"Enter product {i+1} to order: \")\n",
+    "    customer_orders.add(order)\n",
+    "\n",
+    "# Step 6: Print the customer orders\n",
+    "print(\"\\nCustomer Orders:\", customer_orders)\n",
+    "\n",
+    "# Step 7: Calculate order statistics\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "# Store in a tuple\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "# Step 8: Print the order statistics\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n",
+    "\n",
+    "# Step 9: Update inventory by subtracting 1 from each product\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "# Step 10: Print the updated inventory\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.20"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}