diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..2869d74b 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -1,62 +1,85 @@
 {
  "cells": [
   {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Lab | Data Structures "
-   ]
-  },
-  {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eaf34e39-6584-4e7a-897e-5b0bf00bedb3",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## Exercise: Managing Customer Orders\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\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",
+    "inventory = {}\n",
     "\n",
-    "Follow the steps below to complete the exercise:\n",
+    "tshirt = int(input(\"Enter # of t-shirts: \"))\n",
+    "mug = int(input(\"Enter # of mugs: \"))\n",
+    "hat = int(input(\"Enter # of hats: \"))\n",
+    "book = int(input(\"Enter # of books: \"))\n",
+    "keychain = int(input(\"Enter # of keychains: \"))\n",
     "\n",
-    "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "inventory[\"t-shirt\"] = tshirt\n",
+    "inventory[\"mug\"] = mug\n",
+    "inventory[\"hat\"] = hat\n",
+    "inventory[\"book\"] = book\n",
+    "inventory[\"keychain\"] = keychain\n",
     "\n",
-    "2. Create an empty dictionary called `inventory`.\n",
+    "customer_orders = set()\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",
+    "print(\"Available products:\", products)\n",
+    "product1 = input(\"Name of the first product: \")\n",
+    "product2 = input(\"Name of the second product: \")\n",
+    "product3 = input(\"Name of the third product: \")\n",
     "\n",
-    "4. Create an empty set called `customer_orders`.\n",
+    "customer_orders = {product1, product2, product3}\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",
+    "print(\"Products in the customer_orders set:\")\n",
+    "print(customer_orders)\n",
     "\n",
-    "6. Print the products in the `customer_orders` set.\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "print()\n",
+    "print(\"Order Statistics:\")\n",
+    "print(\"Total Products Ordered:\", total_products_ordered)\n",
+    "print(\"Percentage of Products Ordered:\", percentage_ordered, \"%\")\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",
+    "if \"t-shirt\" in customer_orders:\n",
+    "    inventory[\"t-shirt\"] -= 1\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",
+    "if \"mug\" in customer_orders:\n",
+    "    inventory[\"mug\"] -= 1\n",
     "\n",
-    "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "if \"hat\" in customer_orders:\n",
+    "    inventory[\"hat\"] -= 1\n",
     "\n",
-    "10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "if \"book\" in customer_orders:\n",
+    "    inventory[\"book\"] -= 1\n",
     "\n",
-    "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
+    "if \"keychain\" in customer_orders:\n",
+    "    inventory[\"keychain\"] -= 1\n",
+    "\n",
+    "print(\"Updated inventory after the order:\")\n",
+    "print(\"t-shirt:\", inventory[\"t-shirt\"])\n",
+    "print(\"mug:\", inventory[\"mug\"])\n",
+    "print(\"hat:\", inventory[\"hat\"])\n",
+    "print(\"book:\", inventory[\"book\"])\n",
+    "print(\"keychain:\", inventory[\"keychain\"])"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b4364314-6c92-4855-9577-daedd8961d32",
+   "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": {
@@ -68,9 +91,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
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+ "nbformat_minor": 5
 }