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135 changes: 134 additions & 1 deletion lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,139 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "df56862e-4a7d-430f-9fd3-ee9b56c9e7e7",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9096f556-89ea-4654-a93f-cc192fb0f1ef",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {}\n",
" \n",
" for product in products:\n",
" quantity = int(input(f\"How many {product} are in stock? \"))\n",
" inventory[product] = quantity\n",
"\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e6af1698-515b-45f7-a2a5-a95eb50a54e9",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" \n",
" customer_orders = set()\n",
"\n",
" product = input(\"Enter a product you want to order: \")\n",
" customer_orders.add(product)\n",
"\n",
" add_another_product = input(\"Do you want to add another product? (yes/no): \")\n",
"\n",
" while add_another_product == \"yes\":\n",
" product = input(\"Enter a product you want to order: \")\n",
" customer_orders.add(product) \n",
" \n",
" add_another_product = input(\"Do you want to add another product? (yes/no): \") \n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ad1c3d68-9fe2-453f-8069-dacbb50eb788",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" inventory[product] = inventory[product] - 1\n",
"\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "abd6f136-3068-4ba2-a547-2480daad3641",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" \n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (len (customer_orders) / len(products) * 100)\n",
" order_statistics = (total_products_ordered, percentage_ordered)\n",
"\n",
" return order_statistics"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b6784e50-1db8-46da-8ba1-24866f3cec0b",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" total_products_ordered, percentage_ordered = order_statistics\n",
" \n",
" print(\"Order Statistics:\")\n",
" print(\"Total Products Ordered:\", total_products_ordered)\n",
" print(f\"Percentage of Products Ordered: {percentage_ordered}%\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "998de9a0-bb32-4f25-80e2-aebbfc7f3b6e",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory:\")\n",
" \n",
" for product, quantity in inventory.items(): \n",
" print(product, \":\", quantity) "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b6885596-cf0f-4c9e-be97-87e5b51bba28",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"\n",
"statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"print_order_statistics(statistics) \n",
"\n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
Expand All @@ -61,7 +194,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down