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..d26dfbc6
--- /dev/null
+++ b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb
@@ -0,0 +1,219 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Lab | Data Structures "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "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": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Creating a list\n",
+    "products = [\"t-shirt\", \"mug\",\"hat\", \"book\", \"keychain\"]\n",
+    "# Creating an empty dictionary\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter key:  t-shirt\n",
+      "Enter value:  4\n",
+      "Enter key:  mug\n",
+      "Enter value:  3\n",
+      "Enter key:  hat\n",
+      "Enter value:  2\n",
+      "Enter key:  book\n",
+      "Enter value:  5\n",
+      "Enter key:  keychain\n",
+      "Enter value:  2\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 3, 'hat': 2, 'book': 5, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input the quanitiy of each product and show the content of the inventory\n",
+    "inventory = {input(\"Enter key: \"): int(input(\"Enter value: \")) for product in products}\n",
+    "print (inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "enter the product1 (chose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']):  mug\n",
+      "enter the product2 (chose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']):  hat\n",
+      "enter the product3 (chose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']):  book\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "customer orders are:  {'book', 'mug', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input the name of the products and add them to customer_orders set\n",
+    "customer_orders= set()\n",
+    "for i in range(3):\n",
+    "   value = input(f\"enter the product{i + 1} (chose from {products}): \")\n",
+    "   customer_orders.add(value)\n",
+    "print (\"customer orders are: \", customer_orders) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 27.27272727272727 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate the order statistics and print them:\n",
+    "total_products_ordered=int(len(customer_orders))\n",
+    "percentage_of_products_ordered = (total_products_ordered/sum(inventory.values())) * 100\n",
+    "order_status=(total_products_ordered,percentage_of_products_ordered)\n",
+    "print(\"Order Statistics\")\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated t-shirt: 2 left\n",
+      "Updated mug: 1 left\n",
+      "Updated hat: 0 left\n",
+      "Updated book: 3 left\n",
+      "Updated keychain: 0 left\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Update the inventory\n",
+    "for quantity in inventory:\n",
+    "    inventory[quantity] = inventory[quantity]-1\n",
+    "    print (f\"Updated {quantity}: {inventory[quantity]} left\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:base] *",
+   "language": "python",
+   "name": "conda-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..d26dfbc6 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -9,6 +9,13 @@
     "# Lab | Data Structures "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,13 +57,149 @@
     "\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": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Creating a list\n",
+    "products = [\"t-shirt\", \"mug\",\"hat\", \"book\", \"keychain\"]\n",
+    "# Creating an empty dictionary\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter key:  t-shirt\n",
+      "Enter value:  4\n",
+      "Enter key:  mug\n",
+      "Enter value:  3\n",
+      "Enter key:  hat\n",
+      "Enter value:  2\n",
+      "Enter key:  book\n",
+      "Enter value:  5\n",
+      "Enter key:  keychain\n",
+      "Enter value:  2\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 3, 'hat': 2, 'book': 5, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input the quanitiy of each product and show the content of the inventory\n",
+    "inventory = {input(\"Enter key: \"): int(input(\"Enter value: \")) for product in products}\n",
+    "print (inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "enter the product1 (chose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']):  mug\n",
+      "enter the product2 (chose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']):  hat\n",
+      "enter the product3 (chose from ['t-shirt', 'mug', 'hat', 'book', 'keychain']):  book\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "customer orders are:  {'book', 'mug', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input the name of the products and add them to customer_orders set\n",
+    "customer_orders= set()\n",
+    "for i in range(3):\n",
+    "   value = input(f\"enter the product{i + 1} (chose from {products}): \")\n",
+    "   customer_orders.add(value)\n",
+    "print (\"customer orders are: \", customer_orders) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 27.27272727272727 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate the order statistics and print them:\n",
+    "total_products_ordered=int(len(customer_orders))\n",
+    "percentage_of_products_ordered = (total_products_ordered/sum(inventory.values())) * 100\n",
+    "order_status=(total_products_ordered,percentage_of_products_ordered)\n",
+    "print(\"Order Statistics\")\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated t-shirt: 2 left\n",
+      "Updated mug: 1 left\n",
+      "Updated hat: 0 left\n",
+      "Updated book: 3 left\n",
+      "Updated keychain: 0 left\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Update the inventory\n",
+    "for quantity in inventory:\n",
+    "    inventory[quantity] = inventory[quantity]-1\n",
+    "    print (f\"Updated {quantity}: {inventory[quantity]} left\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": {
@@ -68,7 +211,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,