diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..86c0a959 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,175 @@
     "\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": 2,
+   "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": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# Create an empty dictionary called `inventory`.\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 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",
+    "quantity = int(input('How many t-shirts are available: '))\n",
+    "inventory['t-shirt'] = quantity\n",
+    "quantity = int(input('How many mug are available: '))\n",
+    "inventory['mug'] = quantity\n",
+    "quantity = int(input('How many hat are available: '))\n",
+    "inventory['hat'] = quantity\n",
+    "quantity = int(input('How many book are available: '))\n",
+    "inventory['book'] = quantity\n",
+    "quantity = int(input('How many keychain are available: '))\n",
+    "inventory['keychain'] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 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",
+    "# Upgraded version from above\n",
+    "for product in products:\n",
+    "    quantity = int(input(f'How many {product}s are available: '))\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create an empty set called `customer_orders`.\n",
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "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",
+    "order = input('Please say which of the following items you would like: t-shirt, mug, hat, book, keychain')\n",
+    "customer_orders.add(order)\n",
+    "order = input('Please say which of the following items you would like: t-shirt, mug, hat, book, keychain')\n",
+    "customer_orders.add(order)\n",
+    "order = input('Please say which of the following items you would like: t-shirt, mug, hat, book, keychain')\n",
+    "customer_orders.add(order)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'hat', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the products in the `customer_orders` set.\n",
+    "print(customer_orders)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total products ordered : 3\n",
+      "Percentage of products ordered : 60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate and print the following order statistics:\n",
+    "   # - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
+    "products_ordered = len(customer_orders)\n",
+    "print(f'Total products ordered : {products_ordered}')\n",
+    "   # - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
+    "percent = (len(customer_orders)/len(products))*100\n",
+    "print(f'Percentage of products ordered : {percent}%')\n",
+    "   # Store these statistics in a tuple called `order_status`.\n",
+    "order_status = (products_ordered, percent)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 1, 'mug': -3, 'hat': -2, 'book': -3, 'keychain': 5}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "print(inventory) # this was the inventory before customer purchase\n",
+    "prod_1 = list(customer_orders)[0]\n",
+    "inventory[prod_1]-=1\n",
+    "prod_2 = list(customer_orders)[1]\n",
+    "inventory[prod_2]-=1\n",
+    "prod_3 = list(customer_orders)[2]\n",
+    "inventory[prod_3]-=1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 1, 'mug': -4, 'hat': -3, 'book': -4, 'keychain': 5}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "print(inventory)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +232,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,