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126 changes: 124 additions & 2 deletions lab-python-functions.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -43,11 +43,133 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "3ef0ad65",
"metadata": {},
"outputs": [],
"source": [
"# My code here\n",
"# 1.\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
"\n",
" for product in products:\n",
" quantity = int(input(f\"How many {product} ?\"))\n",
" inventory[product] = quantity\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "662dd6ae",
"metadata": {},
"outputs": [],
"source": [
"# 2.\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
" another_order = \"yes\"\n",
"\n",
" while another_order == \"yes\":\n",
" product_name = input(\"Enter a product name: \")\n",
" customer_orders.add(product_name)\n",
" another_order = input(\"Do you want another product? (yes/no): \")\n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "a6b8d9e4",
"metadata": {},
"outputs": [],
"source": [
"# 3.\n",
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "a0a325fb",
"metadata": {},
"outputs": [],
"source": [
"# 4.\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders) # Total of customer orders\n",
" percentage = (len(customer_orders) / len(products)) * 100\n",
" return total_products_ordered, percentage"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "4f72136a",
"metadata": {},
"outputs": [],
"source": [
"# 5.\n",
"def print_order_statistics(order_statistics):\n",
" print(f\"Total products ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage products ordered: {order_statistics[1]}\")"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "306493f1",
"metadata": {},
"outputs": [],
"source": [
"# 6.\n",
"def print_updated_inventory(inventory):\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "b9931681",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total products ordered: 2\n",
"Percentage products ordered: 40.0\n",
"t-shirt: 481\n",
"mug: 43\n",
"hat: 32\n",
"book: 11\n",
"keychain: 3\n"
]
}
],
"source": [
"# 7.\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders()\n",
"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)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +183,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.6"
}
},
"nbformat": 4,
Expand Down