diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..c4cef2de 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -36,13 +36,12 @@
     "   - 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",
+    "inventory = {\n",
+    "    \"apple\": 10,\n",
+    "    \"banana\": 20,\n",
+    "    \"orange\": 15\n",
+    "    \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",
@@ -50,11 +49,196 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Excercise #1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = ['t-shirt','mug', 'hat','book','keychain']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Exercise #2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = { }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(f'Enter quantity of {product} available in the inventory: '))\n",
+    "    inventory[product] = quantity\n",
+    "    print(\"updated inventory:\", inventory)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Excercise #4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_order = {}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'product' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(product)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'product' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "for products in products:\n",
+    "    name_of_products = input(f'Enter three names of products that costumer wants to order:')\n",
+    "    customer_order.append(name_of_products)\n",
+    "    print (\"customer order:\", Customer_order)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Excercise #7"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = { \"apple\": 10, \"banana\": 20, \"orange\": 15}\n",
+    "\n",
+    "customer_orders = {\"apple\", \"banana\", \"apple\"}\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "\n",
+    "available_products = sum(inventory.values())\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Excercise #8"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {\n",
+    "    \"apple\": 10,\n",
+    "    \"banana\": 20,\n",
+    "    \"orange\": 15\n",
+    "}\n",
+    "\n",
+    "customer_orders = {\"apple\", \"banana\", \"apple\"}\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "\n",
+    "available_products = sum(inventory.values())\n",
+    "\n",
+    "percentage_ordered = (total_products_ordered / available_products) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "print(\"Order status:\", order_status)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Excercise #9"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated inventory: {'apple': 9, 'banana': 19, 'orange': 14}\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = {\n",
+    "    \"apple\": 10,\n",
+    "    \"banana\": 20,\n",
+    "    \"orange\": 15\n",
+    "}\n",
+    "\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "\n",
+    "print(\"Updated inventory:\", inventory)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +252,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,