diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..4d39c6e6 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,6 +50,239 @@
     "\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": [
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory={}\n",
+    "user_input_t_shirt=int(input(\"Enter quantity of t-shirts: \"))\n",
+    "user_input_mug=int(input(\"Enter quantity of mug: \"))\n",
+    "user_input_hat=int(input(\"Enter quantity of hat: \"))\n",
+    "user_input_book=int(input(\"Enter quantity of book: \"))\n",
+    "user_input_keychain=int(input(\"Enter quantity of keychain: \"))\n",
+    "inventory={\"t-shirt\":user_input_t_shirt, \"mug\":user_input_mug, \"hat\":user_input_hat, \"book\":user_input_book, \"keychain\":user_input_keychain}\n",
+    "inventory\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter your preference from the product list:  hat\n",
+      "Enter your preference from the product list:  book\n",
+      "Enter your preference from the product list:  mug\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'hat', 'mug'}"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_orders={}\n",
+    "customer_preference_1=input(\"Enter your preference from the product list: \")\n",
+    "customer_preference_2=input(\"Enter your preference from the product list: \")\n",
+    "customer_preference_3=input(\"Enter your preference from the product list: \")\n",
+    "customer_orders={customer_preference_1, customer_preference_2, customer_preference_3}\n",
+    "customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_products_ordered=len(customer_orders)\n",
+    "total_products_ordered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'inventory' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m total_products_available\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(inventory)\n\u001b[0;32m      2\u001b[0m percentage_ordered\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mround\u001b[39m((total_products_ordered\u001b[38;5;241m/\u001b[39mtotal_products_available)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m100\u001b[39m)\n\u001b[0;32m      3\u001b[0m percentage_ordered\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'inventory' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "total_products_available= len(inventory)\n",
+    "percentage_ordered=round((total_products_ordered/total_products_available)*100)\n",
+    "percentage_ordered\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics: Total products ordered:3 Percentage of products ordered:15%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Order Statistics: Total products ordered:{total_products_ordered} Percentage of products ordered:{percentage_ordered}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "quantity_subtracted = 1\n",
+    "inventory[\"t-shirt\"]-=1\n",
+    "inventory[\"mug\"]-=1\n",
+    "inventory[\"hat\"]-=1\n",
+    "inventory[\"book\"]-=1\n",
+    "inventory[\"keychain\"]-=1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory[\"t-shirt\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory[\"mug\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory[\"hat\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory[\"book\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory[\"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +301,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,