diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..f7d63518 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,173 @@
     "\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": [
+    "# This is Kyle Solving the Lab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory={}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ask for product inventory\n",
+    "inventory[\"t-shirt\"] = int(input(\"Enter the quantity of t-shirt: \"))\n",
+    "inventory[\"mug\"] = int(input(\"Enter the quantity of mug: \"))\n",
+    "inventory[\"hat\"] = int(input(\"Enter the quantity of hat: \"))\n",
+    "inventory[\"book\"] = int(input(\"Enter the quantity of book: \"))\n",
+    "inventory[\"keychain\"] = int(input(\"Enter the quantity of keychain: \"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders=set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ask for orders\n",
+    "product_order_1 = input(\"Enter the first product: \")\n",
+    "product_order_2 = input(\"Enter the second product: \")\n",
+    "product_order_3 = input(\"Enter the third product: \")\n",
+    "customer_orders.add(product_order_1)\n",
+    "customer_orders.add(product_order_2)\n",
+    "customer_orders.add(product_order_3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(customer_orders)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "percentage_ordered = (len(customer_orders) / len(products)) * 100\n",
+    "print(f\"percentage of products ordered: {percentage_ordered}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order_status=(total_products_ordered, percentage_ordered)\n",
+    "print(order_status)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Memory update\n",
+    "inventory[product_order_1] = inventory[product_order_1] - 1\n",
+    "inventory[product_order_2] = inventory[product_order_2] - 1\n",
+    "inventory[product_order_3] = inventory[product_order_3] - 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Inventory update\n",
+    "print(f\"t-shirt: {inventory['t-shirt']}\")\n",
+    "print(f\"mug: {inventory['mug']}\")\n",
+    "print(f\"hat: {inventory['hat']}\")\n",
+    "print(f\"book: {inventory['book']}\")\n",
+    "print(f\"keychain: {inventory['keychain']}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +230,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,