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259 changes: 224 additions & 35 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
@@ -1,47 +1,236 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
"cell_type": "code",
"execution_count": 49,
"id": "7b4be6cf-fbfb-4ec7-b73f-d9285956d910",
"metadata": {},
"outputs": [],
"source": [
"# Lab | Functions"
"products = ['t-shirt', 'mug', 'hat', 'book', 'keychain']"
]
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
"metadata": {
"tags": []
},
"cell_type": "code",
"execution_count": 34,
"id": "a0521e39-dc55-4c85-8e9c-95334a0d3d8c",
"metadata": {},
"outputs": [],
"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",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" count = int(input(f'How many {product}s are there in the warehouse? '))\n",
" inventory[product] = count\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "3276d713-17f1-4948-b422-9450ced7cd0d",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"How many t-shirts are there in the warehouse? 50\n",
"How many mugs are there in the warehouse? 40\n",
"How many hats are there in the warehouse? 30\n",
"How many books are there in the warehouse? 60\n",
"How many keychains are there in the warehouse? 45\n"
]
}
],
"source": [
"inventory = initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "342d430b-563b-429c-be6a-faa8ab64120c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inventory: {'t-shirt': 50, 'mug': 40, 'hat': 30, 'book': 60, 'keychain': 45}\n"
]
}
],
"source": [
"print(\"Inventory:\", inventory)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "8de79e2a-910c-4cb7-b414-291b1d2ee614",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
" while True:\n",
" product = input(\"Enter the name of a product you want to order: \").strip().lower()\n",
" customer_orders.add(product)\n",
"\n",
"\n"
" more = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
" if more != 'yes':\n",
" break\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "6acd5ee6-948c-4b5e-ae55-31269b5eac63",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product you want to order: t-shirt\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter the name of a product you want to order: book\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter the name of a product you want to order: mug\n",
"Do you want to add another product? (yes/no): no\n"
]
}
],
"source": [
"customer_orders = get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "1c3764ea-c90a-45d6-8c10-b8d2b9b6ab3a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer Orders: {'mug', 'book', 't-shirt'}\n"
]
}
],
"source": [
"print(\"Customer Orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "f492249a-64fa-4c00-8606-4e0bf8ac3138",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_stats(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_of_products_ordered = (total_ordered / len(products)) * 100\n",
" return total_products_ordered, int(percentage_of_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "beb2e5f0-bc3e-4375-aa2a-7bdb757b1516",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(inventory, customer_orders):\n",
" for item in customer_orders:\n",
" if item in inventory and inventory[item] > 0:\n",
" inventory[item] -= 1\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "38dcb295-f38d-4eed-8e62-b0f7a815b418",
"metadata": {},
"outputs": [],
"source": [
"inventory = update_inventory(inventory, customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "911f8df4-280c-4cb0-8680-83a22516582c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory: {'t-shirt': 49, 'mug': 39, 'hat': 30, 'book': 59, 'keychain': 45}\n"
]
}
],
"source": [
"print(\"Updated Inventory:\", inventory)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "102eed2e-153d-49fc-b206-10fa3226be98",
"metadata": {},
"outputs": [],
"source": [
"def print_order_stats(total_products_ordered, percentage_of_products_ordered):\n",
" print(\"Order Statistics:\")\n",
" print(\"Total Products Ordered:\", total_products_ordered)\n",
" print(\"Percentage of Products Ordered:\", int(percentage_of_products_ordered), \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "1aa1fe84-9a0f-49c7-98eb-5328f6b2209c",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "c088e48b-4e8d-486c-9f51-f985595e4490",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60 %\n",
"Updated Inventory:\n",
"t-shirt: 49\n",
"mug: 39\n",
"hat: 30\n",
"book: 59\n",
"keychain: 45\n"
]
}
],
"source": [
"print_order_stats(total_products_ordered, percentage_of_products_ordered)\n",
"print_updated_inventory(inventory)"
]
}
],
Expand All @@ -61,7 +250,7 @@
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"pygments_lexer": "ipython3",
"version": "3.9.13"
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}
},
"nbformat": 4,
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