diff --git a/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb
new file mode 100644
index 00000000..9b6d7603
--- /dev/null
+++ b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb
@@ -0,0 +1,230 @@
+{
+ "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": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for t-shirt:  7\n",
+      "Enter quantity for mug:  10\n",
+      "Enter quantity for hat:  7\n",
+      "Enter quantity for book:  7\n",
+      "Enter quantity for keychain:  7\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter quantity for {product}: \"))\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter a product to order:  mug\n",
+      "Enter a product to order:  hat\n",
+      "Enter a product to order:  keychain\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(3):\n",
+    "    product = input(\"Enter a product to order: \")\n",
+    "    customer_orders.add(product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat', 'mug', 'keychain'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered:\n",
+      "Percentage of Products Ordered: 60 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Order Statistics:\")\n",
+    "print(\"Total Products Ordered:\")\n",
+    "print(\"Percentage of Products Ordered:\", int(percentage_ordered), \"%\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "mug: 9\n",
+      "hat: 6\n",
+      "book: 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = {'mug': 10, 'hat': 7, 'book': 7}\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "print(\"Updated 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)",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..9b6d7603 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,6 +50,160 @@
     "\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": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for t-shirt:  7\n",
+      "Enter quantity for mug:  10\n",
+      "Enter quantity for hat:  7\n",
+      "Enter quantity for book:  7\n",
+      "Enter quantity for keychain:  7\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter quantity for {product}: \"))\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter a product to order:  mug\n",
+      "Enter a product to order:  hat\n",
+      "Enter a product to order:  keychain\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(3):\n",
+    "    product = input(\"Enter a product to order: \")\n",
+    "    customer_orders.add(product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat', 'mug', 'keychain'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered:\n",
+      "Percentage of Products Ordered: 60 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Order Statistics:\")\n",
+    "print(\"Total Products Ordered:\")\n",
+    "print(\"Percentage of Products Ordered:\", int(percentage_ordered), \"%\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "mug: 9\n",
+      "hat: 6\n",
+      "book: 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = {'mug': 10, 'hat': 7, 'book': 7}\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "print(\"Updated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +222,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,