diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..ef8dbd43 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -10,8 +10,10 @@
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "## Exercise: Managing Customer Orders\n",
     "\n",
@@ -21,8 +23,10 @@
     "\n",
     "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
     "\n",
+    "\n",
     "2. Create an empty dictionary called `inventory`.\n",
     "\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",
@@ -50,11 +54,147 @@
     "\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": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter the number of {product} available in the inventory\"))\n",
+    "    inventory[product] = quantity #name_of_the_dictionary(key) = output variable (or) value for the key\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 76, 'mug': 22, 'hat': 81, 'book': 60, 'keychain': 3}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "order = input(f\"Please enter the name of any three products from {products} you want to order:\")\n",
+    "final_order = [item.strip() for item in order.split(\",\")] \n",
+    "#without stripping and splitting, the items either appear duplicated or with spaces\n",
+    "#so strip function is carried out for each item that is split\n",
+    "customer_orders = set(final_order)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'mug', 't-shirt', 'book'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_of_the_products_ordered = (total_products_ordered / (len(products)))*100\n",
+    "order_status = (total_products_ordered, percentage_of_the_products_ordered) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered:\", int(total_products_ordered))\n",
+    "print(f\"Percentage of Products Ordered:\", str(percentage_of_the_products_ordered) + '%')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {'t-shirt': 76, 'mug': 22, 'hat': 81, 'book': 60, 'keychain': 3}\n",
+    "\n",
+    "for product, quantity in inventory.items():\n",
+    "    inventory[product] = quantity -1 #dictionary_name[key] = value -1 (this will assign the value to the respective keys)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 75\n",
+      "mug: 21\n",
+      "hat: 80\n",
+      "book: 59\n",
+      "keychain: 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "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 +208,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,