diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..51ef3cd8 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,177 @@
     "\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": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#1.\n",
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #products list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#2.\n",
+    "inventory={} #empty dictionary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the number of available t-shirt 5\n",
+      "Enter the number of available mug 9\n",
+      "Enter the number of available hat 5\n",
+      "Enter the number of available book 45\n",
+      "Enter the number of available keychain 58\n"
+     ]
+    }
+   ],
+   "source": [
+    "#3.\n",
+    "for product in products:\n",
+    "    inventory[product]=input(f\"Enter the number of available {product}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#4.\n",
+    "customer_orders=set() #set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter any product that a customer wants to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain']  mug\n",
+      "Enter any product that a customer wants to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain']  book\n",
+      "Enter any product that a customer wants to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain']  keychain\n"
+     ]
+    }
+   ],
+   "source": [
+    "#5.\n",
+    "for i in range(3):\n",
+    "    customer_orders.add(input(f\"Enter any product that a customer wants to order from {products} \"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'mug', 'keychain'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#6.\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#7.\n",
+    "total_products_ordered=len(customer_orders)\n",
+    "percentage_ordered =100*total_products_ordered/len(products)\n",
+    "order_status=(total_products_ordered,percentage_ordered)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0% \n"
+     ]
+    }
+   ],
+   "source": [
+    "#8.\n",
+    "\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]}% \")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#9.\n",
+    "for customer_order in customer_orders:\n",
+    "    if customer_order in inventory and int(inventory[customer_order])>0:\n",
+    "       inventory[customer_order]=str(int(inventory[customer_order])-1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt-5\n",
+      "mug-8\n",
+      "hat-5\n",
+      "book-44\n",
+      "keychain-57\n"
+     ]
+    }
+   ],
+   "source": [
+    "#10.\n",
+    "for key,value in inventory.items():\n",
+    "    print(f\"{key}-{value}\")\n",
+    "    "
+   ]
   }
  ],
  "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 +232,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,