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241 changes: 240 additions & 1 deletion lab-python-functions.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,245 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "1a03426d-e96e-453b-9a67-a7ff25b58965",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"products\n"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "45bcdcc8-9fec-4f4e-a1ef-939f0e111912",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity for t-shirt: 10\n",
"Enter the quantity for mug: 20\n",
"Enter the quantity for hat: 30\n",
"Enter the quantity for book: 40\n",
"Enter the quantity for keychain: 50\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 20, 'hat': 30, 'book': 40, 'keychain': 50}\n"
]
}
],
"source": [
"#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",
"\n",
"def initialize_inventory(products): \n",
" \n",
" inventory = {}\n",
" \n",
" for product in products:\n",
" quantity = int(input(f\"Enter the quantity for {product}: \"))\n",
" inventory[product] = quantity\n",
" \n",
" return inventory\n",
"\n",
"inventory = initialize_inventory(products)\n",
"\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "f6b459b0-dfcd-4ab4-a8fe-89b69d8939c8",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Choose a product to order : book\n",
"Do you want to order another product? (Yes/No) yes\n",
"Choose a product to order : hat\n",
"Do you want to order another product? (Yes/No) no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'book'}\n"
]
}
],
"source": [
"#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",
"\n",
"\n",
"def get_customer_orders():\n",
" \n",
" customer_orders = set()\n",
" \n",
" product = input(\"Choose a product to order : \")\n",
" customer_orders.add(product)\n",
" question = input(\"Do you want to order another product? (Yes/No)\").lower()\n",
"\n",
" while question != \"no\":\n",
" product = input(\"Choose a product to order : \")\n",
" customer_orders.add(product)\n",
" question = input(\"Do you want to order another product? (Yes/No)\").lower()\n",
" \n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "0c56fc23-60d1-4686-a3fa-1e4cd5bc50ac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt 10\n",
"mug 20\n",
"hat 29\n",
"book 39\n",
"keychain 50\n"
]
}
],
"source": [
"#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",
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= 1\n",
" \n",
" return inventory\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"for product, quantity in inventory.items():\n",
" print(product, quantity)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "fc64bba5-c119-4e81-9717-3f5592367934",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 40.0)\n"
]
}
],
"source": [
"#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\n",
"#(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",
" percentage_of_products_ordered = (total_products_ordered / len(products))*100\n",
"\n",
" return total_products_ordered, percentage_of_products_ordered\n",
"\n",
"stats = calculate_order_statistics(customer_orders, products)\n",
"print(stats)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 86,
"id": "88026476-4273-4768-adde-20aa41f0861d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 40.0)\n"
]
}
],
"source": [
"#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(customer_orders, products):\n",
" stats = calculate_order_statistics(customer_orders, products)\n",
" print(stats)\n",
"\n",
"print_statistics = print_order_statistics(customer_orders, products) "
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "0ef50b7d-3282-46ba-8ee3-8bfb407c2f23",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 20, 'hat': 29, 'book': 39, 'keychain': 50}\n"
]
}
],
"source": [
"#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(inventory)\n",
"\n",
"updated_inventory = print_updated_inventory(inventory) "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9ec38cbd-ae89-4389-a1ae-8db1d87f8d2c",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +300,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down