diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..a7c812a 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,188 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "01b84b29-3909-45c9-b7ce-b379f362b632", + "metadata": {}, + "outputs": [], + "source": [ + "#1. Define a function named initialize_inventory that takes products as a parameter. \n", + "#Inside the function, implement the code for initializing the inventory dictionary using \n", + "#a loop and user input.\n", + "\n", + "def initialize_inventory(products):\n", + " inventory={}\n", + " products=products.split(\",\")\n", + " \n", + " n=0\n", + " for prod in products:\n", + " products[n]=prod.strip()\n", + " n+=1\n", + " \n", + " for item in products: \n", + " quant=int(input(f\"Enter the quantity of the product {item}, only integers allowed\"))\n", + " inventory[item]=quant\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bee86f98-08f5-4c15-9f4c-750db825ef21", + "metadata": {}, + "outputs": [], + "source": [ + "#2. Define a function named get_customer_orders that takes no parameters. Inside the function, \n", + "#implement the code for prompting the user to enter the product names using a loop. The function \n", + "#should return the customer_orders set.\n", + "\n", + "def get_customer_orders():\n", + " add=1\n", + " customer_orders=set()\n", + " while add==1:\n", + " order_item=input(f\"The producst we have are : {\" \".join(list(inventory.keys()))}.\\nEnter the name of the product you want:\")\n", + " customer_orders.add(order_item)\n", + " more=1\n", + " while more==1:\n", + " add_item=input(\"Do you want add more items? answer yes/no:\")\n", + " if add_item==\"yes\":\n", + " more=0\n", + " add=1\n", + " elif add_item==\"no\":\n", + " add=0\n", + " more=0\n", + " else:\n", + " more=1\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1ef07739-aa10-48d2-8f05-ce6a6bdf061a", + "metadata": {}, + "outputs": [], + "source": [ + "#3. Define a function named update_inventory that takes customer_orders and inventory as parameters. \n", + "#Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", + "\n", + "def update_inventory(customer_orders,inventory):\n", + " for i in customer_orders:\n", + " inventory[i]-=1\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e60a206d-7ff2-4a37-b1ff-8e3c218803a8", + "metadata": {}, + "outputs": [], + "source": [ + "# 4.Define a function named calculate_order_statistics that takes customer_orders and products as parameters. \n", + "#Inside the function, implement the code for calculating the order statistics (total products ordered, and \n", + "#percentage of unique products ordered). The function should return these values.\n", + "\n", + "def calculate_order_statistics(customer_orders,products):\n", + " products= inventory.values()\n", + " total_products_ordered= len(customer_orders)\n", + " count=0\n", + " for x in products:\n", + " count+=x\n", + " \n", + " perc_prod_ordered= (total_products_ordered/count)*100\n", + " return total_products_ordered, perc_prod_ordered" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ad22c752-51d9-4413-b342-bf66ee72ff48", + "metadata": {}, + "outputs": [], + "source": [ + "# 5. Define a function named print_order_statistics that takes order_statistics as a parameter. \n", + "#Inside the function, implement the code for printing the order statistics.\n", + "\n", + "def print_order_statistics(order_statistics):\n", + " x=order_statistics[0]\n", + " y=order_statistics[1]\n", + " return f\"the total of products ordered is :{x}, and the percentage of unique products ordered is; {y}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "65a43291-0b01-4ada-b6c9-e81a240c6649", + "metadata": {}, + "outputs": [], + "source": [ + "# 6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. \n", + "#Inside the function, implement the code for printing the updated inventory.\n", + "\n", + "def print_updated_inventory(inventory):\n", + " print(f\"the updated inventory is {inventory}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c15f48c2-5950-46e0-bb98-94a5536a6ab5", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity of the product hat, only integers allowed 1\n", + "Enter the quantity of the product t-shirt, only integers allowed 4\n", + "Enter the quantity of the product book, only integers allowed 2\n", + "Enter the quantity of the product keyring, only integers allowed 3\n", + "The producst we have are : hat t-shirt book keyring.\n", + "Enter the name of the product you want: hat\n", + "Do you want add more items? answer yes/no: yes\n", + "The producst we have are : hat t-shirt book keyring.\n", + "Enter the name of the product you want: keyring\n", + "Do you want add more items? answer yes/no: no\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "the updated inventory is {'hat': 0, 't-shirt': 4, 'book': 2, 'keyring': 2}\n" + ] + } + ], + "source": [ + "# 7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", + "\n", + "products = \"hat, t-shirt, book, keyring\"\n", + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "inventory = update_inventory(customer_orders,inventory)\n", + "order_statistics = calculate_order_statistics(customer_orders,products)\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef2e4db9-6fd9-40ea-9562-dec53541511f", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python [conda env:base] *", "language": "python", - "name": "python3" + "name": "conda-base-py" }, "language_info": { "codemirror_mode": { @@ -61,7 +236,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,