From d3b962e050c226ff656ade91fd3aef63d432fcf6 Mon Sep 17 00:00:00 2001 From: Yurii Slobodchukov Date: Wed, 16 Sep 2026 15:57:38 +0200 Subject: [PATCH] Solved lab --- lab-python-functions.ipynb | 231 ++++++++++++++++++++++++++++++++++++- 1 file changed, 229 insertions(+), 2 deletions(-) diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..533c79a 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,11 +43,238 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "89e02ac6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['t-shirt', 'mug', 'hat', 'book', 'keychain']" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "products" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "4e2766eb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 5, 'mug': 5, 'hat': 5, 'book': 5, 'keychain': 5}" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def initialize_inventory(products):\n", + " inventory = {}\n", + "\n", + " for product in products:\n", + " quantity = int(input(f\"Enter the quantity of {product}\"))\n", + " inventory[product] = quantity\n", + " return inventory\n", + "\n", + "inventory = initialize_inventory(products)\n", + "\n", + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "49ebc54c", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "customer_orders = set()\n", + "\n", + "def get_customer_orders():\n", + " customer_orders = set()\n", + "\n", + " while True:\n", + "\n", + " while True:\n", + " order = input(\"Enter product name\")\n", + "\n", + " if order in products:\n", + " customer_orders.add(order)\n", + " break\n", + " else:\n", + " print(\"invalid value\")\n", + "\n", + " while True:\n", + " another_order = input(\"Would you like to add another product (yes/no)?\")\n", + " if another_order == \"no\" or another_order == \"yes\":\n", + " break\n", + " else:\n", + " print('invalid answer. please enter \"yes\" or \"no\"')\n", + "\n", + " if another_order == \"no\":\n", + " break\n", + "\n", + " return customer_orders\n", + "\n", + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "82b877af", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + " for product in customer_orders:\n", + " inventory[product] -=1\n", + "\n", + " return inventory\n", + "\n", + "inventory = update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "a2aeb0cf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1, 20.0)\n" + ] + } + ], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " procentage_ordered = len(customer_orders) / len (products) * 100\n", + "\n", + " return total_products_ordered, procentage_ordered\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "print(order_statistics)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "6c7fa6e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 1\n", + "Percentage of Products Ordered: 20.0%\n" + ] + } + ], + "source": [ + "def print_order_statistics(order_statistics):\n", + " total_products_ordered, percentage_ordered = order_statistics\n", + "\n", + " print(f\"\"\"Order Statistics:\n", + "Total Products Ordered: {total_products_ordered}\n", + "Percentage of Products Ordered: {percentage_ordered}%\"\"\")\n", + "\n", + "print_order_statistics(order_statistics)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "a121489f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated inventory:\n", + "t-shirt 5\n", + "mug 5\n", + "hat 5\n", + "book 5\n", + "keychain 5\n" + ] + } + ], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(\"Updated inventory:\")\n", + " for product in inventory:\n", + " print(product, inventory[product])\n", + "\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "1ed465e7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 2\n", + "Percentage of Products Ordered: 40.0%\n", + "Updated inventory:\n", + "t-shirt 5\n", + "mug 4\n", + "hat 4\n", + "book 5\n", + "keychain 5\n" + ] + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory = initialize_inventory(products)\n", + "\n", + "customer_orders = get_customer_orders()\n", + "\n", + "inventory = update_inventory(customer_orders, inventory)\n", + "\n", + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "\n", + "print_order_statistics(order_statistics)\n", + "\n", + "print_updated_inventory(inventory)" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "base", "language": "python", "name": "python3" }, @@ -61,7 +288,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.14.6" } }, "nbformat": 4,