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130 changes: 129 additions & 1 deletion lab-python-functions.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,134 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cb7fabfa-8f39-4c56-97f4-ee53180c1e8f",
"metadata": {},
"outputs": [],
"source": [
"# Catalog list\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0a11f91f-4fcf-4d37-9397-ef8a84a95bcd",
"metadata": {},
"outputs": [],
"source": [
"# Define a function named initialize_inventory\n",
"\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for item in products:\n",
" qty = int(input(f\"Enter quantity for {item}: \"))\n",
" inventory[item] = qty\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ea53a544-dda7-47cc-a187-62734e6d35aa",
"metadata": {},
"outputs": [],
"source": [
"# Define a function named get_customer_orders\n",
"\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
" add_another = \"yes\"\n",
" \n",
" while add_another.lower() == \"yes\":\n",
" product = input(\"Enter the name of a product: \")\n",
" customer_orders.add(product)\n",
" add_another = input(\"Do you want to add another product? (yes/no): \")\n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f4b94c93-9188-4e19-b888-38137f343129",
"metadata": {},
"outputs": [],
"source": [
"# Define a function named update_inventory\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= 1\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c11bd6d7-e472-4ffe-bde9-b86693dbc0c4",
"metadata": {},
"outputs": [],
"source": [
"# calculate_order_statistics\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_ordered = len(customer_orders)\n",
" percentage_ordered = (len(customer_orders) / len(products)) * 100\n",
" order_status = (total_ordered, percentage_ordered)\n",
" return order_status"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1a027df1-55b3-4714-b110-61d5b56959e6",
"metadata": {},
"outputs": [],
"source": [
"# print_order_statistics\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" print(\"\\nOrder Statistics:\")\n",
" print(f\"Total Products Ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of Products Ordered: {order_statistics[1]:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5a70e3a6-0816-4112-9826-3d89003d8e60",
"metadata": {},
"outputs": [],
"source": [
"# print_updated_inventory\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"\\nUpdated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ab25a992-6cfc-46b9-9d4e-dd60c0ebbdcb",
"metadata": {},
"outputs": [],
"source": [
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders()\n",
"\n",
"order_stats = calculate_order_statistics(customer_orders, products)\n",
"print_order_statistics(order_stats)\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
Expand All @@ -61,7 +189,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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