From e1b59a8a1bca8597bef3337d33e110a5ec8ee2da Mon Sep 17 00:00:00 2001 From: Supriya Date: Thu, 2 Apr 2026 23:16:58 +0200 Subject: [PATCH] Solved lab --- lab-python-functions.ipynb | 136 ++++++++++++++++++++++++++++++++++++- 1 file changed, 134 insertions(+), 2 deletions(-) diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..8fe245d 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -8,6 +8,14 @@ "# Lab | Functions" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "35219029", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "0c581062-8967-4d93-b06e-62833222f930", @@ -43,11 +51,135 @@ "\n", "\n" ] + }, + { + "cell_type": "markdown", + "id": "241038f5", + "metadata": {}, + "source": [ + "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", + "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", + "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", + "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", + "7. Call the functions in the appropriate sequence to execute the program and manage customer orders." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ad0fd02b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initial Inventory:\n", + "{'t-shirt': 10, 'mug': 20, 'hat': 30, 'book': 40, 'keychain': 50}\n", + "\n", + "Order Statistics:\n", + "[5, 5, 100.0]\n", + "\n", + "Updated Inventory:\n", + "t-shirt 9\n", + "mug 18\n", + "hat 29\n", + "book 39\n", + "keychain 50\n" + ] + } + ], + "source": [ + "def initialize_inventory(products):\n", + " inventory = {}\n", + " product_count = len(products)\n", + "\n", + " for i in range(product_count):\n", + " quantity = int(input(f\"Enter the quantity for {products[i]} \"))\n", + " inventory[products[i]] = quantity\n", + " return inventory\n", + "\n", + "def get_customer_orders():\n", + " customer_response = True\n", + " dict_cust_order = {\n", + " \"t-shirt\" : 0,\n", + " \"mug\" : 0,\n", + " \"hat\" : 0,\n", + " \"book\" : 0,\n", + " \"keychain\" : 0\n", + " }\n", + "\n", + " while customer_response == True:\n", + " customer_response = int(input(\"Do you want to order more items:(Enter 1 for yes 0 for No): \"))\n", + " if customer_response == True:\n", + " product = input(\"Please give the product to order: \")\n", + "\n", + " if product in inventory:\n", + " dict_cust_order[product] += 1\n", + " \n", + " else:\n", + " print(\"You have entered wrong product\")\n", + " print(\"Please select the product from this list:\", products)\n", + "\n", + " return dict_cust_order\n", + "\n", + "\n", + "def update_inventory(customer_orders,inventory):\n", + " for i,j in inventory.items():\n", + " for a,b in customer_orders.items():\n", + " if i == a:\n", + " inventory[i] = j - b\n", + " return inventory\n", + "\n", + "def calculate_order_statistics(customer_orders,products):\n", + " total_products_ordered = len(customer_orders)\n", + " total_products = len(products)\n", + " percentage_ordered = (100*total_products_ordered)/total_products\n", + "\n", + " order_statistics = [total_products,total_products_ordered,percentage_ordered]\n", + " return order_statistics\n", + "\n", + "def print_order_statistics(order_statistics):\n", + " print(\"\\nOrder Statistics:\")\n", + " print(order_statistics)\n", + "\n", + "def print_updated_inventory(inventory):\n", + " print(\"\\nUpdated Inventory:\")\n", + " for item, value in inventory.items():\n", + " print(item, value)\n", + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = initialize_inventory(products)\n", + "print(\"Initial Inventory:\")\n", + "print(inventory)\n", + "customer_orders= get_customer_orders()\n", + "inventory= update_inventory(customer_orders,inventory)\n", + "\n", + "order_statistics=calculate_order_statistics(customer_orders,products)\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b96bbc6", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -61,7 +193,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.2" } }, "nbformat": 4,