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165 changes: 162 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 +43,172 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "635fbbb2-c170-4024-be5f-83f1501cd512",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "82e6126b-b349-43c7-967d-81f157346752",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory= {}\n",
" for product in products:\n",
" quantity = int(input(f\"Enter quantity for {products}: \"))\n",
" inventory[product] = quantity\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "831a4f7e-7910-452b-b3b4-db4ee642bbdd",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
" \n",
" add_more = \"yes\"\n",
" \n",
" while add_more == \"yes\":\n",
" user_order= input(\"Enter a product: \")\n",
"\n",
" if user_order not in products:\n",
" print(\"Invalid product. Try again.\")\n",
" continue\n",
" \n",
" if user_order in customer_orders:\n",
" print(\"Product already chosen. Pick another one.\")\n",
" continue\n",
"\n",
" customer_orders.add(user_order)\n",
"\n",
" add_more = input(\"Add another product? (yes/no): \").lower()\n",
" \n",
" return customer_orders\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "88a393ee-fcb3-426b-8e3b-43b90a4607ca",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" update_inventory = {}\n",
" for product in customer_orders:\n",
" if inventory[product] > 0:\n",
" inventory[product] -= 1\n",
" else:\n",
" print(f\"{product} is out of stock.\")\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "27a8d5eb-7db2-4e64-81a1-7af14feed136",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products): \n",
" total_ordered = len(customer_orders)\n",
" percentage = (total_ordered / len(products)) * 100\n",
" return total_ordered, percentage"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f5834ae1-7fed-4f6b-97c5-d833b7303c3b",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statics):\n",
" total_ordered, percentage = order_statistics\n",
" print(\"Order Statics\")\n",
" print(f\"Total unique products ordered: {total_ordered}\")\n",
" print(f\"Percentage ordered: {percentage}%\") "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "75a65eee-80ea-4c7a-8c18-6910d5595b86",
"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": 8,
"id": "76d5d31b-d650-4fdc-b87c-57f75a72a070",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']: 4\n",
"Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']: 4\n",
"Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']: 4\n",
"Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']: 35\n",
"Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']: 12\n",
"Enter a product: keychain\n",
"Add another product? (yes/no): yes\n",
"Enter a product: book\n",
"Add another product? (yes/no): no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statics\n",
"Total unique products ordered: 2\n",
"Percentage ordered: 40.0%\n",
"Updated inventory\n",
"t-shirt: 4\n",
"mug: 4\n",
"hat: 4\n",
"book: 34\n",
"keychain: 11\n"
]
}
],
"source": [
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders()\n",
"update_inventory(customer_orders, inventory)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"print_order_statistics(order_statistics)\n",
"\n",
"print_updated_inventory(inventory)"
]
}
],
"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 +220,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down