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Solved Lab #479

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69 changes: 69 additions & 0 deletions .ipynb_checkpoints/lab-python-functions-checkpoint.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
"metadata": {},
"source": [
"# Lab | Functions"
]
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
"metadata": {
"tags": []
},
"source": [
"## Exercise: Managing Customer Orders with Functions\n",
"\n",
"In the previous exercise, you improved the code for managing customer orders by using loops and flow control. Now, let's take it a step further and refactor the code by introducing functions.\n",
"\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",
"\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.\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"
]
}
],
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"version": 3
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"file_extension": ".py",
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146 changes: 143 additions & 3 deletions lab-python-functions.ipynb
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Expand Up @@ -8,6 +8,14 @@
"# Lab | Functions"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d2099bea-19a6-4a48-8266-ddae806d873d",
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"source": []
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{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
Expand Down Expand Up @@ -43,13 +51,145 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8b71e656-ba9e-4cc4-aad5-f238123a8828",
"metadata": {},
"outputs": [],
"source": [
"#Function 1:\n",
"\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" number_of_items = int(input(f\"How many {product} are there in the inventory?\"))\n",
" inventory[product] = number_of_items\n",
" return inventory\n",
"\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products) # creates the inventory from the \"products\" list with quantities from user input\n",
"\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bc1b819a-b149-4bc5-b223-a0bb303153cd",
"metadata": {},
"outputs": [],
"source": [
"#Function 2:\n",
"\n",
"def get_customer_orders():\n",
"\n",
" customer_orders = set()\n",
"\n",
" answer = \"yes\"\n",
"\n",
" while answer == \"yes\":\n",
" order = str(input(\"What product does your customer wants to order from the available ones?\").strip().lower())\n",
" if order in products:\n",
" customer_orders.add(order)\n",
" else:\n",
" print(\"Sorry, it's an invalid item\")\n",
"\n",
" answer = input(\"Does the customer want to order anything else? Type yes or no:\").strip().lower()\n",
"\n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "838b5586-7112-4711-8420-492701445a6d",
"metadata": {},
"outputs": [],
"source": [
"#Function 3:\n",
"\n",
"def update_inventory(customer_orders,inventory):\n",
" updated_inventory = {} #creates a new empty dict \n",
" for product in inventory.keys(): #loops run through the products (keys) in the current inventory \n",
" if product in customer_orders:\n",
" updated_inventory[product] = int(inventory[product] - 1) #only subtracts 1 from customer orders, and updates the values into the new dict\n",
" else:\n",
" updated_inventory[product] = inventory[product] #if the products were not purchased, the values remain the same\n",
" return updated_inventory\n",
"\n",
"updated_inventory = update_inventory(customer_orders, inventory)\n",
"print(updated_inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "820b6127-632b-4e0a-9967-e90411924c9d",
"metadata": {},
"outputs": [],
"source": [
"#Function 4:\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
"\n",
" total_products_ordered = len(customer_orders)\n",
"\n",
" percentage_ordered = int((total_products_ordered*100)/(len(products)))\n",
"\n",
" order_statistics = (total_products_ordered, percentage_ordered)\n",
"\n",
" return order_statistics\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c7fd4a9a-c752-4d69-96af-294394f566da",
"metadata": {},
"outputs": [],
"source": [
"#Function 5:\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" total_products_ordered, percentage_ordered = order_statistics\n",
" print(f\"Total products ordered: {total_products_ordered}\")\n",
" print(f\"Percentage of products ordered: {percentage_ordered}%\")\n",
"\n",
"print_order_statistics(order_statistics)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7fddcb0b-3795-4a3c-a645-cb484e4eea5f",
"metadata": {},
"outputs": [],
"source": [
"#Function 6:\n",
"\n",
"def print_updated_inventory(updated_inventory):\n",
" print(\"Updated Inventory:\\n\")\n",
" for product in updated_inventory:\n",
" print(f\"{product}: {updated_inventory[product]}\\n\")\n",
"\n",
"print_updated_inventory(updated_inventory)"
]
}
],
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"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -61,7 +201,7 @@
"name": "python",
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