diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..d6431c9 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -21,13 +21,13 @@ "\n", "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", + "1. Define a function named `initialize_inventory` that takes `productss` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", "\n", - "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", + "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 products names using a loop. The function should return the `customer_orders` set.\n", "\n", "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", + "4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `productss` as parameters. Inside the function, implement the code for calculating the order statistics (total productss ordered, and percentage of unique productss 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", @@ -43,11 +43,318 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b9b0cfd4", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6df4a541", + "metadata": {}, + "outputs": [], + "source": [ + "def initialize_inventory(products):\n", + " inventory = {} # 1. Initialize empty dictionary\n", + "\n", + " # 2. Start loop for user input\n", + " while True:\n", + " products = input(\"Enter products name (or 'done' to finish): \").lower().strip()\n", + "\n", + " # Exit condition\n", + " if products.lower() == \"done\":\n", + " break\n", + "\n", + " quantity = int(input(f\"Enter quantity for {products}: \"))\n", + "\n", + " # 3. Add to dictionary\n", + " inventory[products] = quantity\n", + "\n", + " # 4. Return completed dictionary\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d4fcb8a3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'beer': 50, 'water': 50, 'wine': 50}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "bcac7dad", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders(products):\n", + " \n", + " customer_orders = set() \n", + " \n", + " while True:\n", + " products = input(\"Enter products name (or 'done' to finish): \").strip()\n", + "\n", + " # Exit condition\n", + " if products.lower() == \"done\":\n", + " break\n", + "\n", + " # 3. Add to set\n", + " customer_orders.add(products)\n", + "\n", + " # 4. Return completed set\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "50875be5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'beer', 'water', 'wine'}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_customer_orders(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "bf1abed4", + "metadata": {}, + "outputs": [], + "source": [ + "inventory = {'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n", + "customer_orders = {'t-shirt', 'hat'}" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "f088941c", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders, inventory):\n", + " \n", + " for product in customer_orders:\n", + " if product in inventory:\n", + " inventory[product] -= 1\n", + " return inventory \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "fadb0a19", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 9, 'mug': 10, 'hat': 9, 'book': 10, 'keychain': 10}" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "aa6e8775", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistic (customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " \n", + " # 2. Percentage of unique products ordered\n", + " percentage_ordered = (total_products_ordered / len(products)) * 100\n", + " \n", + " # 3. Return both values (packed as a tuple)\n", + " return total_products_ordered, percentage_ordered" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "52d9fb7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Ordered: 2\n", + "Percentage Ordered: 40.00%\n" + ] + } + ], + "source": [ + "total_ordered, percentage = calculate_order_statistic(customer_orders, products)\n", + "\n", + "print(f\"Total Ordered: {total_ordered}\")\n", + "print(f\"Percentage Ordered: {percentage:.2f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "ddc07fc2", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(order_statistic):\n", + " # Unpack the tuple passed into the parameter\n", + " total_ordered, percentage = order_statistic\n", + " \n", + " # Print the formatted statistics\n", + " print(f\"Total Products Ordered: {total_ordered}\")\n", + " print(f\"Percentage of Unique Products Ordered: {percentage:.2f}%\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "9d6256c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Products Ordered: 2\n", + "Percentage of Unique Products Ordered: 40.00%\n" + ] + } + ], + "source": [ + "# 1. Calculate the stats and store the resulting tuple\n", + "stats = calculate_order_statistic(customer_orders, products)\n", + "\n", + "# 2. Pass that tuple into your print function to trigger the print statements\n", + "print_order_statistics(stats)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "09d0622a", + "metadata": {}, + "outputs": [], + "source": [ + "def print_update_inventory(inventory):\n", + " print(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "665cd0bb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 9, 'mug': 10, 'hat': 9, 'book': 10, 'keychain': 10}\n" + ] + } + ], + "source": [ + "print_update_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "ae2051f0", + "metadata": {}, + "outputs": [], + "source": [ + "def run_store_management(products):\n", + " # 1. Inizializza l'inventario\n", + " inventory = initialize_inventory(products)\n", + " \n", + " # 2. Raccogli gli ordini del cliente\n", + " customer_orders = get_customer_orders(products)\n", + " \n", + " # 3. Aggiorna l'inventario\n", + " inventory = update_inventory(customer_orders, inventory)\n", + " \n", + " # 4. Calcola le statistiche degli ordini\n", + " order_statistics = calculate_order_statistic(customer_orders, products)\n", + " \n", + " # 5. Stampa le statistiche\n", + " print_order_statistics(order_statistics)\n", + " \n", + " # 6. Stampa l'inventario aggiornato\n", + " print_update_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "7a9f2bad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Products Ordered: 3\n", + "Percentage of Unique Products Ordered: 60.00%\n", + "{'milk': 59, 'beer': 49, 'water': 29}\n" + ] + } + ], + "source": [ + "run_store_management(products)" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": ".venv (3.14.6.final.0)", "language": "python", "name": "python3" }, @@ -61,7 +368,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.14.6" } }, "nbformat": 4,