From fda87eaaf0c49eddbc273c96c751a06df6ccf1f5 Mon Sep 17 00:00:00 2001 From: Anna Igumnova Date: Sun, 26 Oct 2025 22:19:45 +0100 Subject: [PATCH] Finished lab --- lab-python-functions.ipynb | 317 +++++++++++++++++++++++++++++++++++-- 1 file changed, 308 insertions(+), 9 deletions(-) diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..94c028d 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -22,32 +22,331 @@ "Follow the steps below to complete the exercise:\n", "\n", "1. 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", - "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "dd00d8c9", + "metadata": {}, + "outputs": [], + "source": [ + "def initialize_inventory(products):\n", + " inventory = {}\n", + " for product in products:\n", + " inventory[product] = int(input(f\"How many {product}s do you have in storage?\"))\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5ba3b18f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 45, 'mug': 98, 'hat': 34, 'book': 98, 'keychain': 50}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inventory = initialize_inventory([\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"])\n", + "inventory" + ] + }, + { + "cell_type": "markdown", + "id": "ebbc8c39", + "metadata": {}, + "source": [ "2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "451c5596", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " products = []\n", + " still_buying = True\n", + " while still_buying:\n", + " product = input(\"What products would you like to buy?\")\n", + " customer_answer = input(\"Do you wish to buy another product? (Y/N)\")\n", "\n", + " # if customer_answer not in [\"Y\", \"N\"]:\n", + " # customer_answer = input(\"Do you wish to buy another product? (Y/N)\")\n", + " if customer_answer == \"N\":\n", + " still_buying = False\n", + "\n", + " products.append(product)\n", + " return products" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "be3ee4c8", + "metadata": {}, + "outputs": [], + "source": [ + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "84812d28", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['iguana', 'mug', 'book', 't-shirt', '', 'non']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "customer_orders" + ] + }, + { + "cell_type": "markdown", + "id": "dc7f1fde", + "metadata": {}, + "source": [ "3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", "\n", - "4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n", "\n", - "5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. Inside the function, implement the code for printing the order statistics.\n", "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c365da88", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + " # update the inventory dictionary based on customer orders\n", + " # first check the products that the customer bought one at a time\n", + " for product in customer_orders:\n", + " # see if I have the products in the inventory\n", + " if product in inventory:\n", + " # if I do have the product in inventory, remove 1 item of that product from the inventory\n", + " inventory[product] -= 1\n", + " # if I don't have the product in inventory, let the customer know it's not there\n", + " else:\n", + " print(f\"{product} is not in inventory!\")\n", + " # break\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "87d4432a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "iguana is not in inventory!\n", + " is not in inventory!\n", + "non is not in inventory!\n" + ] + }, + { + "data": { + "text/plain": [ + "{'t-shirt': 44, 'mug': 97, 'hat': 34, 'book': 97, 'keychain': 50}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "markdown", + "id": "e1e0f6d0", + "metadata": {}, + "source": [ + "4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "18de36f4", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " unique_products_ordered = len(set(customer_orders))\n", + " if len(products) > 0:\n", + " percentage_unique_products_ordered = (unique_products_ordered / len(products)) * 100\n", + " else:\n", + " percentage_unique_products_ordered = 0\n", + " return total_products_ordered, percentage_unique_products_ordered\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "84b82824", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(6, 120.0)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "calculate_order_statistics(customer_orders, [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"])" + ] + }, + { + "cell_type": "markdown", + "id": "e6c4506d", + "metadata": {}, + "source": [ + "5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. Inside the function, implement the code for printing the order statistics.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "d28d2b3f", + "metadata": {}, + "outputs": [], + "source": [ + "order_statistics = calculate_order_statistics(customer_orders, [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "37306f19", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(order_statistics):\n", + " print(\"Total products ordered:\", order_statistics[0])\n", + " print(\"Percentage of unique products ordered:\", order_statistics[1], \"%\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "8969a017", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total products ordered: 6\n", + "Percentage of unique products ordered: 120.0 %\n" + ] + } + ], + "source": [ + "print_order_statistics(order_statistics)" + ] + }, + { + "cell_type": "markdown", + "id": "442fac5b", + "metadata": {}, + "source": [ "6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory.\n", - "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "90cd8df1", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " for product, quantity in inventory.items():\n", + " print(product + \":\", quantity)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "b228e0eb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt: 44\n", + "mug: 97\n", + "hat: 34\n", + "book: 97\n", + "keychain: 50\n" + ] + } + ], + "source": [ + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "markdown", + "id": "c55c3a7c", + "metadata": {}, + "source": [ "7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", "\n", "Hints for functions:\n", "\n", "- Consider the input parameters required for each function and their return values.\n", "- Utilize function parameters and return values to transfer data between functions.\n", - "- Test your functions individually to ensure they work correctly.\n", - "\n", - "\n" + "- Test your functions individually to ensure they work correctly." ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "base", "language": "python", "name": "python3" }, @@ -61,7 +360,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4,