From 8cc6a2645ee75815c59882b8bd936a52c26a95b6 Mon Sep 17 00:00:00 2001 From: Bruno Sousa <“brunomsousa2014@gmail.com”> Date: Fri, 20 Feb 2026 16:15:06 +0000 Subject: [PATCH] Solved Lab --- lab-python-functions.ipynb | 210 ++++++++++++++++++++++++++++++++++++- 1 file changed, 209 insertions(+), 1 deletion(-) diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..0ebb41c 100644 --- a/lab-python-functions.ipynb +++ b/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,