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308 changes: 305 additions & 3 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,315 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "bcb3eb06-c28c-4726-b9ba-9fa800b1de78",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e79e87ff-75c1-458c-841e-da2f0386efd1",
"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 a loop and user input.\n",
"\n",
"def initialize_inventory(products):\n",
" \n",
" inventory = {}\n",
" \n",
" for item in products:\n",
" \n",
" while True:\n",
" quantity = input(f\"How many units of {item} would you like to add to the inventory? \")\n",
" \n",
" if quantity.isdigit():\n",
" inventory[item] = int(quantity)\n",
" print(f\"Added {quantity} units of {item} to the inventory.\")\n",
" break\n",
" \n",
" else:\n",
" print(f\"Invalid input for '{item}'. Please enter a positive whole number.\")\n",
" \n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4ae0e2a6-7e4e-43cc-af3a-aa3b0806eebf",
"metadata": {},
"outputs": [],
"source": [
"# 2 - Define a function named get_customer_orders that takes no parameters.\n",
"# Inside the function, implement the code for prompting the user to enter the product names using a loop.\n",
"# The function should return the customer_orders set.\n",
"\n",
"def get_customer_orders():\n",
"\n",
" get_customer_orders = set()\n",
" print(\"\\nPRODUCTS LIST: \", \", \".join(products),\"\\n\")\n",
"\n",
" while True:\n",
" new_order = input(\"Do you want to input an order? (yes/no): \").strip().lower()\n",
" \n",
" if new_order == \"yes\":\n",
" order = input(\"From the products list, enter the name of a product that a customer wants to order: \").strip().lower()\n",
" \n",
" if order not in products:\n",
" print(f\"Error: '{order.upper()}' is not in the products list. Try again.\")\n",
" elif order in get_customer_orders:\n",
" print(f\"Error: You've already chosen '{order.upper()}'. Pick a different product.\")\n",
" else:\n",
" get_customer_orders.add(order)\n",
" print(f\"'{order.upper()}' has been added to your order. Total items selected: {len(get_customer_orders)}.\")\n",
" \n",
" elif new_order == \"no\":\n",
" break\n",
" \n",
" else:\n",
" print(\"Invalid input: must enter 'yes' or 'no'!\") \n",
" \n",
" return get_customer_orders\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "683524f5-deb2-4b41-851e-04ea47bab9ba",
"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",
"\n",
" for item in customer_orders:\n",
" if inventory[item] <= 0:\n",
" print(f\"Error: '{item.upper()}' is out of stock. Please choose another product.\")\n",
" else:\n",
" inventory[item] -= 1\n",
" print(f\"'{item.upper()}' quantity has been updated in inventory .\")\n",
"\n",
" return inventory\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3ce8ded8-4fd1-4cc5-b954-72044d75ab3c",
"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 percentage of unique products ordered).\n",
"# The function should return these values.\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" total_unique_products_available = len(products)\n",
" \n",
" if total_unique_products_available > 0:\n",
" percentage_unique_products_ordered = (total_products_ordered / total_unique_products_available) * 100\n",
" else:\n",
" percentage_unique_products_ordered = 0\n",
" \n",
" return (total_products_ordered, percentage_unique_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "f3f0f8c9-6ae0-455a-8745-87885fe3cfaa",
"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",
" total_ordered, percentage_ordered = order_statistics\n",
" print(\"\\nORDER STATISTICS:\")\n",
" print(f\"Total items selected: {total_ordered}\")\n",
" print(f\"Percentage of unique products ordered: {percentage_ordered:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "f4f35db3-1638-460a-b83d-9caf42b266ec",
"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(\"\\nUpdated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product.title()}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "8a27d8d7-f1e6-495c-a679-a3959e1e0e69",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"How many units of t-shirt would you like to add to the inventory? 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added 10 units of t-shirt to the inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"How many units of mug would you like to add to the inventory? 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added 10 units of mug to the inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"How many units of hat would you like to add to the inventory? 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added 10 units of hat to the inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"How many units of book would you like to add to the inventory? 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added 10 units of book to the inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"How many units of keychain would you like to add to the inventory? 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added 10 units of keychain to the inventory.\n",
"\n",
"PRODUCTS LIST: t-shirt, mug, hat, book, keychain \n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Do you want to input an order? (yes/no): yes\n",
"From the products list, enter the name of a product that a customer wants to order: mug\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"'MUG' has been added to your order. Total items selected: 1.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Do you want to input an order? (yes/no): no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"'MUG' quantity has been updated in inventory .\n",
"\n",
"Updated Inventory:\n",
"T-Shirt: 10\n",
"Mug: 9\n",
"Hat: 10\n",
"Book: 10\n",
"Keychain: 10\n",
"\n",
"ORDER STATISTICS:\n",
"Total items selected: 1\n",
"Percentage of unique products ordered: 20.00%\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"update_inventory(customer_orders, inventory)\n",
"\n",
"print_updated_inventory(inventory)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "17ba2cf9-2d44-4122-967b-e7d4a55e0cdc",
"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": {
Expand All @@ -61,7 +363,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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