Solved lad python functions

lab-python-functions.ipynb

@@ -43,11 +43,101 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "88697088",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def initialize_inventory(products): #defines the starting inventory and its products\n",
+    "    inventory = {}\n",
+    "    print(\"quantity available of each product:\")\n",
+    "    for item in products:\n",
+    "        while True:\n",
+    "            quantity = input(f\"  {item}: \").strip()\n",
+    "        if quantity.isdigit():                     \n",
+    "            inventory[item] = int(quantity)\n",
+    "            break\n",
+    "        print(\"  please enter a non-negative number.\") \n",
+    "    return inventory #initializes the inventory with user input"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "d15eadfc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_costumer_orders(): #takes the orders from the costumers without parameters\n",
+    "    customer_orders = set()\n",
+    "    add_another = 'y'\n",
+    "    while add_another.lower() == 'y':\n",
+    "        product_name = input(\"Enter the product name to order: \")\n",
+    "        customer_orders.add(product_name)\n",
+    "        add_another = input(\"Do you want to add another product? (y/n): \")\n",
+    "    return customer_orders #returns the set of ordered products\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "c8d1e647",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(inventory, orders): #updates the inventory based on the orders taken\n",
+    "    for item in products:\n",
+    "        if item in orders:\n",
+    "            inventory[item] -= orders[item]\n",
+    "    return inventory #returns the updated inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "e1045362",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statitics(customer_orders, products): #calculates the total items ordered and the average items per product\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "    return total_products_ordered, percentage_ordered #returns the total items ordered and the average"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "37c05593",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(total_products_ordered, percentage_ordered): #prints the order statistics\n",
+    "    print(f\"Total products ordered: {total_products_ordered}\")\n",
+    "    print(f\"Percentage of products ordered: {percentage_ordered:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "ff04cbd2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory): #prints the updated inventory\n",
+    "    print(\"Updated inventory:\")\n",
+    "    for item in products:\n",
+    "        print(f\"  {item}: {inventory[item]}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +151,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,