diff --git a/lab 1 - 14.10.24.ipynb b/lab 1 - 14.10.24.ipynb
new file mode 100644
index 0000000..e7700df
--- /dev/null
+++ b/lab 1 - 14.10.24.ipynb	
@@ -0,0 +1,407 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "f5a7d6ba-d6ce-48a9-a22e-2e3b0f06d512",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# EXERCISE: MANAGING CUSTOMER ORDERS \n",
+    "# Exercise 1."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "59020b39-0e87-401b-abe5-72b68b3ddb22",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "edf5b389-c916-4e34-b205-79e44c80f82c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Exercise 2."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "1dd5888d-3c7d-4352-85c0-97b842896920",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "fb8f1e27-d619-472c-abdc-c852e6939216",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Exercise 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "id": "7806be13-9072-4c4e-a578-9ccb44eb753b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "please enter t-shirt 5\n",
+      "please enter mug 6\n",
+      "please enter hat 7\n",
+      "please enter book 8\n",
+      "please enter keychain 9\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 6, 'hat': 7, 'book': 8, 'keychain': 9}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in products:\n",
+    "    inventory[product] = int(input(f'please enter {product}'))\n",
+    "print(inventory)\n",
+    "\n",
+    "    \n",
+    "    \n",
+    "   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "43a40b86-8f12-4001-be6e-e3fa58cc28fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['t-shirt', 'mug', 'hat', 'book', 'keychain']"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "efa15a5c-637d-4ed0-abb4-39a4cc1f9f6e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "fe2c56b4-bd3c-4ed9-9cdf-14df31f99f0a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the first product: mug\n"
+     ]
+    }
+   ],
+   "source": [
+    "product1 = input('Enter the first product:')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "80067f8a-2a78-4d3e-a51c-cb68b224988e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the second product: hat\n"
+     ]
+    }
+   ],
+   "source": [
+    "product2 = input('Enter the second product:')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "2e08d23b-6be9-4e0d-9342-5bc6cae7a197",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the second product: book\n"
+     ]
+    }
+   ],
+   "source": [
+    "product3 = input('Enter the third product:')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "9995386b-ef8a-49b2-816b-713795c0ec8a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders.add(product1)\n",
+    "customer_orders.add(product2)\n",
+    "customer_orders.add(product3)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "080b88c7-fcd5-4574-a770-ae1ceceeb380",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'hat', 'mug'}"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "id": "c4de9d00-b00a-4d39-8937-961572223bfc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_products = len(customer_orders)\n",
+    "print(total_products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "aaace79c-6ce6-474b-ba25-2409bd4742ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "5\n"
+     ]
+    }
+   ],
+   "source": [
+    "products_available = len(inventory)\n",
+    "print(products_available)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "6c407f51-4cd2-4cfb-aaa7-12e2c08fcd0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The percentage is 60.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "percentage_products = total_products / products_available *100\n",
+    "print(f'The percentage is {percentage_products} %')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "c9a132fc-49b2-4b8d-88c1-ca8fa6275285",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order_status = (total_products , percentage_products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "id": "6813e7b3-22eb-4d3b-aabd-c8ee3aa42368",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 60.0)"
+      ]
+     },
+     "execution_count": 135,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "order_status"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "id": "e8fdab60-1377-4f6b-8d16-0f191b9843ca",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " Order Statistics: \n",
+      " Total products ordered: 3 \n",
+      " Percentage of products ordered: 60.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "order_statistics = (f'\\n Order Statistics: \\n Total products ordered: {total_products} \\n Percentage of products ordered: {percentage_products}')\n",
+    "print(order_statistics)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "id": "47a519ad-56ab-44f3-8ece-89f9f3fdf533",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 5, 'mug': 6, 'hat': 7, 'book': 8, 'keychain': 9}"
+      ]
+     },
+     "execution_count": 165,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "id": "437d5117-a7b8-47e4-a5cf-c87bc541c829",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for product in inventory:\n",
+    "   if inventory[product] > 0: \n",
+    "        inventory[product] -= 1\n",
+    "   else:\n",
+    "       print(f'There are not enough inventory for {product}')\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "id": "774ba31f-fa7e-42ef-99b5-4748606c34f2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 8}\n",
+      "{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 8}\n",
+      "{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 8}\n",
+      "{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 8}\n",
+      "{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 8}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for key,values in inventory.items():\n",
+    "    print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "87f76599-154b-4a1b-8250-27779c6f8709",
+   "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": 5
+}
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
deleted file mode 100644
index 5b3ce9e..0000000
--- a/lab-python-data-structures.ipynb
+++ /dev/null
@@ -1,76 +0,0 @@
-{
- "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. "
-   ]
-  }
- ],
- "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": "3.9.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}