diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..11f9542a 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -19,36 +19,297 @@
     "\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",
+    "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": [
+    "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "list"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "product = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "#type (product)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "2. Create an empty dictionary called `inventory`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory = {}\n",
+    "#type(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": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 6, 'mug': 9, 'hat': 2, 'book': 9, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for item in product: \n",
+    "    quantity = int(input(f\"how many {item} I have ?\"))\n",
+    "    inventory [item] = quantity\n",
     "\n",
-    "6. Print the products in the `customer_orders` set.\n",
+    "print (inventory)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "4. Create an empty set called `customer_orders`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "custumer_order = set()\n",
+    "#type (custumer_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": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "iguana is not a product available\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(3):\n",
+    "    item = input(\"What product you want to order (t-shirt, mug, hat, book, keychain)? \")\n",
+    "    if item in product:\n",
+    "        custumer_order.add(item)\n",
+    "    else:\n",
+    "        print(f'{item}' \" is not a product available\")\n",
     "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "6. Print the products in the `customer_orders` set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'keychain', 'book'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(custumer_order)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "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",
+    "   Store these statistics in a tuple called `order_status`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "total products ordered  2\n",
+      "total products inventory 5\n",
+      "percentage of products ordered 40.0 %\n",
+      "order status (2, 40.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_products_ordered = len(custumer_order)\n",
+    "print (\"total products ordered \", total_products_ordered)\n",
+    "\n",
+    "total_products_inventory = len (product)\n",
+    "print (\"total products inventory\" , total_products_inventory)\n",
     "\n",
+    "percentage_of_products_ordered = (total_products_ordered/total_products_inventory)*100\n",
+    "print (\"percentage of products ordered\" , percentage_of_products_ordered, \"%\")\n",
+    "\n",
+    "order_status = (total_products_ordered,percentage_of_products_ordered)\n",
+    "#print(type (order_status))\n",
+    "print (\"order status\" , order_status)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "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": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics: \n",
+      "Total Products Ordered: 2\n",
+      "Percentage of Products Ordered: 40.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (\"Order Statistics: \")\n",
+    "print (\"Total Products Ordered:\" , total_products_ordered )\n",
+    "print (\"Percentage of Products Ordered:\" , percentage_of_products_ordered , \"%\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "keychain uptaded now there's {1} left in inventory\n",
+      "book uptaded now there's {8} left in inventory\n"
+     ]
+    }
+   ],
+   "source": [
+    "for item in custumer_order:\n",
+    "    if item in inventory:\n",
+    "        if inventory[item]>0:\n",
+    "           inventory[item] -= 1\n",
+    "           print (f'{item}',\"uptaded now there's\",{inventory[item]},\"left in inventory\")\n",
+    "        else:\n",
+    "           print (f'{item}', \"is out of stock in inventory\")\n",
+    "    else:\n",
+    "        print (f'{item}', \"does not exist in inventory\")    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "10. Print the updated inventory, displaying the quantity of each product on separate lines."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "updated inventory:\n",
+      "{'t-shirt': 6, 'mug': 9, 'hat': 2, 'book': 8, 'keychain': 1}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (\"updated inventory:\")\n",
+    "print (inventory)"
    ]
   }
  ],
@@ -68,7 +329,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,