diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..7054823 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c581062-8967-4d93-b06e-62833222f930",
+   "id": "340baa2d-38bd-4df9-a193-9c6a4d51dbd7",
    "metadata": {
     "tags": []
    },
@@ -43,6 +43,291 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "96af86ed-cc29-4320-b538-26a3f4899e33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "id": "3db15d02-d7e4-4790-b7ab-c9ee5908cacf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 2, 'mug': 2, 'hat': 2, 'book': 2, 'keychain': 2}"
+      ]
+     },
+     "execution_count": 201,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 202,
+   "id": "c610d678-0ed4-4d05-8aea-c12cecb86426",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'mug'}"
+      ]
+     },
+     "execution_count": 202,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_order_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "5190fc17-c203-4077-ba1f-93f05d929bf4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity:  22\n",
+      "Enter quantity:  2\n",
+      "Enter quantity:  2\n",
+      "Enter quantity:  2\n",
+      "Enter quantity:  2\n"
+     ]
+    }
+   ],
+   "source": [
+    "#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",
+    "def initialize_inventory(products):\n",
+    "    inventory=dict()\n",
+    "    for i in products:\n",
+    "        quantity=int(input(\"Enter quantity: \"))\n",
+    "        inventory[i]=quantity\n",
+    "    return inventory\n",
+    "inventory= initialize_inventory(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "026f7d14-348f-4d23-895b-0c9859c6606e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter name of product:  mug\n",
+      "Enter yes or no to add another product:  yes\n",
+      "Enter name of product:  book\n",
+      "Enter yes or no to add another product:  no\n"
+     ]
+    }
+   ],
+   "source": [
+    "def get_customer_orders():\n",
+    "    x=len(products)\n",
+    "    customer_orders=set()\n",
+    "    count=0\n",
+    "\n",
+    "    for count in range(x):\n",
+    "        name=input(\"Enter name of product: \")\n",
+    "        if name in products:\n",
+    "            customer_orders.add(name)\n",
+    "            ask=input(\"Enter yes or no to add another product: \")\n",
+    "            if ask==\"yes\":\n",
+    "                count+=1\n",
+    "            elif ask==\"no\":\n",
+    "                break\n",
+    "        else:\n",
+    "            print(\"please add available\")\n",
+    "            \n",
+    "    return customer_orders\n",
+    "    \n",
+    "customer_orders=get_customer_orders()  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "28030f42-4f98-4936-8a7d-6c3d0bee2f47",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for i in customer_orders:\n",
+    "        if i in inventory:\n",
+    "            inventory[i]-=1       \n",
+    "    return inventory  \n",
+    "inventory= update_inventory(customer_orders, inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "5b1b4e48-8663-4638-b293-71d297f0f2f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered=len(customer_orders)\n",
+    "    total_products= len(products)\n",
+    "    percentage_unique_ordered=round((total_products_ordered/total_products)*100)\n",
+    "    return total_products_ordered, percentage_unique_ordered\n",
+    "\n",
+    "order_statistics=calculate_order_statistics(customer_orders, products)\n",
+    "    \n",
+    "  \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "5556235c-f778-427c-8dda-addd40370279",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "        print(f\"Order Statistics= Total products ordered:Percentage of products ordered are {order_statistics}\")\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "974e016c-6f4c-4dc9-aa40-a70f715aaba3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    print(f\"The updated inventory is {inventory}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "fa25e788-70a3-435a-8a62-8e5414756a91",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 22, 'mug': -1, 'hat': 2, 'book': -1, 'keychain': 2}"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "update_inventory(customer_orders, inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "714357e3-0b7f-4835-9472-b46344cb118d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2, 40)"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "calculate_order_statistics(customer_orders, products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "150884de-e376-4aba-a26c-7d442d364595",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics= Total products ordered:Percentage of products ordered are (2, 40)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print_order_statistics(order_statistics)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "9785603b-f206-4f27-ad53-3b9fc1c3e6ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The updated inventory is {'t-shirt': 22, 'mug': -1, 'hat': 2, 'book': -1, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 248,
+   "id": "c13f8ae4-487e-485d-9cb6-f8337d9cb2e4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 2, 'mug': 1, 'hat': 2, 'book': 1, 'keychain': 2}"
+      ]
+     },
+     "execution_count": 248,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae9e26c5-ce93-4498-bfa5-35a3b627375e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -61,7 +346,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,