Lab-python-functions

lab-python-functions.ipynb

@@ -43,6 +43,214 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "dcb75892-09c5-45d0-991e-9a9db90f2339",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Quantify t-shirt product:  10\n",
+      "Quantify mug product:  5\n",
+      "Quantify hat product:  6\n",
+      "Quantify book product:  7\n",
+      "Quantify keychain product:  10\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 10, 'mug': 5, 'hat': 6, 'book': 7, 'keychain': 10}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#1 \n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory ={\"t-shirt\": 0, \"mug\": 0, \"hat\": 0, \"book\": 0, \"keychain\": 0}\n",
+    "\n",
+    "def initialize_inventory(products):\n",
+    "    for product in inventory:\n",
+    "        inventory[product] = int(input(f\"Quantify {product} product: \"))\n",
+    "\n",
+    "initialize_inventory(products)\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3f4b0369-9c26-4596-bffd-2f84ac5ecba5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many products do you want to order?  2\n",
+      "Enter product name:  book\n",
+      "Enter product name:  t-shirt\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt', 'book'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#2\n",
+    "def get_customer_orders():\n",
+    "    n = int(input(\"How many products do you want to order? \"))\n",
+    "    \n",
+    "    customer_orders = set()\n",
+    "    \n",
+    "    for _ in range(n):\n",
+    "        product = input(\"Enter product name: \").strip().lower()\n",
+    "        customer_orders.add(product)\n",
+    "    \n",
+    "    return customer_orders    \n",
+    "\n",
+    "customer_orders = get_customer_orders()\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "d4cb11ce-2d00-443c-86a7-592e099202a9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 9, 'mug': 5, 'hat': 6, 'book': 6, 'keychain': 10}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#3\n",
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for product in customer_orders:\n",
+    "        if product in inventory:\n",
+    "            if inventory[product] > 0:\n",
+    "                inventory[product] -= 1\n",
+    "            else:\n",
+    "                print(f\"{product} is out of stock\")\n",
+    "        else:\n",
+    "            print(f\"{product} does not exist in inventory.\")\n",
+    "\n",
+    "    return inventory\n",
+    "\n",
+    "inventory = update_inventory(customer_orders, inventory)\n",
+    "print(inventory)\n",
+    "\n",
+    "        \n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "c00fa9a7-0057-4c95-9454-23d132ee8046",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total products ordered: 2\n",
+      "Percentage of unique produts ordered:  40.00%\n"
+     ]
+    }
+   ],
+   "source": [
+    "#4\n",
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_unique = (total_products_ordered / len (products)) * 100\n",
+    "\n",
+    "    return total_products_ordered, percentage_unique \n",
+    "\n",
+    "total, percentage = calculate_order_statistics(orders, products)\n",
+    "\n",
+    "print(f\"Total products ordered: {total}\")\n",
+    "print(f\"Percentage of unique produts ordered: {percentage: .2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "9b366de3-afde-4e9a-ad48-9701354f6924",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total products ordered: 2\n",
+      "Percentage of unique products ordered: 40.00%\n"
+     ]
+    }
+   ],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "    total, percentage = order_statistics\n",
+    "    \n",
+    "    print(\"Order Statistics:\")\n",
+    "    print(f\"Total products ordered: {total}\")\n",
+    "    print(f\"Percentage of unique products ordered: {percentage:.2f}%\")\n",
+    "\n",
+    "order_statistics = calculate_order_statistics(orders, products)\n",
+    "print_order_statistics(order_statistics)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "1115baa1-dd6b-498b-bfeb-a5c821f7b211",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "t-shirt: 7\n",
+      "mug: 5\n",
+      "hat: 6\n",
+      "book: 4\n",
+      "keychain: 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    print(\"Updated Inventory:\")\n",
+    "    \n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")\n",
+    "\n",
+    "inventory = update_inventory(orders, inventory)\n",
+    "print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d885da01-ac71-40bf-a9cf-717c11386202",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -61,7 +269,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,