diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..8d3a3c3 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -43,11 +43,351 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "a6049bc9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#1. Define a function named `initialize_inventory` that takes `products` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
+    "\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #initial product list\n",
+    "inventory={}#empty inventory dictionary\n",
+    "\n",
+    "def initialize_inventory(products):\n",
+    "    #initialize the inventory dictionary using a loop and user input\n",
+    "    for product in products: #iterate over the product list \n",
+    "        inventory[f\"{product}\"] = int(input(f'Enter the quantity of \"{product}\" in the inventory: '))\n",
+    "    return inventory\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "a77e30a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "initialize_inventory(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "id": "75366df4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "f4e1f4ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'hat', 'mug'}"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Define a function named `get_customer_orders` that takes no parameters. Inside the function,\n",
+    "# implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n",
+    "\n",
+    "customer_order=set()\n",
+    "def get_customer_orders():\n",
+    "    customer_order.add(input(\"enter a product you want to order between t-shirt, mug, hat, book, keychain \"))\n",
+    "    while input(\"do you want to order another product? (yes/no)\") == \"yes\":\n",
+    "        customer_order.add(input(\"enter the name of a product you want to order between t-shirt, mug, hat, book, keychain\"))\n",
+    "    else:\n",
+    "\n",
+    "     return customer_order\n",
+    "    \n",
+    "get_customer_orders()\n",
+    "\n",
+    "    \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "id": "a431c681",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e7f2f56a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ffe102ee",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "38a28361",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters.\n",
+    "#  Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n",
+    "\n",
+    "    \n",
+    "def update_inventory(customer_order, inventory):\n",
+    "    for product in customer_order:\n",
+    "        if product in inventory:\n",
+    "            inventory[product] -= 1\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "c02c1c18",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 10, 'mug': 8, 'hat': 8, 'book': 8, 'keychain': 10}"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "update_inventory(customer_order, inventory)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "ef86aa6a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'hat', 'mug'}"
+      ]
+     },
+     "execution_count": 111,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_order"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "id": "4b0b287d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. \n",
+    "# Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). \n",
+    "# The function should return these values.\n",
+    "\n",
+    "def calculate_order_statistics(customer_order, products):\n",
+    "    totalorder=len(customer_order)\n",
+    "    uniqueproducts=totalorder/len(products)*100\n",
+    "    order_statistics=(totalorder, uniqueproducts)\n",
+    "    return order_statistics \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "id": "30b8eb58",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 60.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "calculate_order_statistics(customer_order, products)\n",
+    "order_statistics = calculate_order_statistics(customer_order, products)  \n",
+    "print(order_statistics)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "id": "b4d41785",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Define a function named `print_order_statistics` that takes `order_statistics` \n",
+    "# as a parameter. Inside the function, implement the code for printing the order statistics.\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    print(f\"Total products ordered: {order_statistics[0]}\")\n",
+    "    print(f\"Percentage of unique products ordered: {order_statistics[1]:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "id": "8dab6fa2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total products ordered: 3\n",
+      "Percentage of unique products ordered: 60.00%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print_order_statistics(order_statistics)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "id": "c6fb2921",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 10\n",
+      "mug: 8\n",
+      "hat: 8\n",
+      "book: 8\n",
+      "keychain: 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory.\n",
+    "\n",
+    "def print_updated_inventory(inventory):\n",
+    "    for products,quantities in inventory.items():\n",
+    "        print(f\"{products}: {quantities}\")\n",
+    "print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "id": "99737842",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n",
+      "{'book', 'mug', 't-shirt', 'hat'}\n",
+      "(4, 80.0)\n",
+      "Total products ordered: 4\n",
+      "Percentage of unique products ordered: 80.00%\n",
+      "t-shirt: 9\n",
+      "mug: 9\n",
+      "hat: 9\n",
+      "book: 9\n",
+      "keychain: 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
+    "\n",
+    "initialize_inventory(products)\n",
+    "print(inventory)\n",
+    "get_customer_orders()\n",
+    "print(customer_order)\n",
+    "update_inventory(customer_order, inventory)\n",
+    "print\n",
+    "calculate_order_statistics(customer_order, products) \n",
+    "print(order_statistics)\n",
+    "print_order_statistics(order_statistics)\n",
+    "print_updated_inventory(inventory)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c7aed371",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +401,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,