diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..9c62e12a 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,287 @@
     "\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": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#1. Define a list called products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "2. #Create an empty dictionary called inventory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory={}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#3. Ask the user to input the quantity of each product available in the inventory. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the quantity of the product t-shirt 3\n",
+      "Enter the quantity of the product mug 3\n",
+      "Enter the quantity of the product hat 3\n",
+      "Enter the quantity of the product book 3\n",
+      "Enter the quantity of the product keychain 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in products:\n",
+    "    inventory[i]=int(input(f\"Enter the quantity of the product {i}\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#4. Create an empty set called customer_orders."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders=set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#5. Ask the user to input the name of three products that a customer wants to order \n",
+    "#(from those in the products list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Item 1:Type the exact name of the product you would like mug\n",
+      "Item 2:Type the exact name of the product you would like hat\n",
+      "Item 3:Type the exact name of the product you would like \n"
+     ]
+    }
+   ],
+   "source": [
+    "itemN=1\n",
+    "while itemN <=3:\n",
+    "    item=input(f\"Item {itemN}:Type the exact name of the product you would like\")\n",
+    "    if item in products:\n",
+    "        customer_orders.add(item)\n",
+    "        itemN +=1\n",
+    "    elif item==\"\":\n",
+    "        itemN+=1\n",
+    "    elif type(item)==str:\n",
+    "        print(\"Enter the product name again, check in case of any typos\")\n",
+    "   \n",
+    "\n",
+    "    \n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#6. Print the products in the customer_orders set.\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#7. Calculate: Total Products Ordered & Percentage of Products Ordered.\n",
+    "#Store these statistics in a tuple called `order_status`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2, 28.571428571428573)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Total products ordered\n",
+    "total_order=len(customer_orders)\n",
+    "#Percentage of Products Ordered: <percentage_ordered>% \n",
+    "percent_prod= (total_order*100)/total_inventory\n",
+    "order_status=(total_order, percent_prod)\n",
+    "\n",
+    "print(order_status)\n",
+    "#total_inventory= sum(inventory.values())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total Products Ordered: 2\n",
+      "Percentage of Products Ordered: 28.571428571428573%\n"
+     ]
+    }
+   ],
+   "source": [
+    "#8.  Order Statistics:\n",
+    "print(f\"Total Products Ordered: {total_order}\")\n",
+    "print(f\"Percentage of Products Ordered: {percent_prod}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#9.  Update the inventory by subtracting 1 from the quantity of each product. \n",
+    "#Modify the `inventory` dictionary accordingly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for order in customer_orders:\n",
+    "    inventory[order]-=1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#10. Print the updated inventory, displaying the quantity of each product on separate lines."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 3, 'mug': 1, 'hat': 1, 'book': 3, 'keychain': 3}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The number of t-shirt that are left in the inventory are 3\n",
+      "The number of mug that are left in the inventory are 1\n",
+      "The number of hat that are left in the inventory are 1\n",
+      "The number of book that are left in the inventory are 3\n",
+      "The number of keychain that are left in the inventory are 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "for x,y in inventory.items():\n",
+    "    print(f\"The number of {x} that are left in the inventory are {y}\")"
+   ]
+  },
+  {
+   "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 +342,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,