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medilin pull request #464

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234 changes: 232 additions & 2 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,11 +43,241 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "7ecad8b9",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"] "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c74808c3",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" quantity = int(input(f\"how many {product} available?\"))\n",
" inventory[product] = quantity\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4fa39dd7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 5, 'hat': 32, 'book': 45, 'keychain': 2}\n"
]
}
],
"source": [
"inventory = initialize_inventory(products)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "df838750",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
" continue_to_buy = \"yes\"\n",
" while continue_to_buy == \"yes\":\n",
" customer_orders.add(input(f\"select product out of 't-shirt','mug','hat','book','keychain'\"))\n",
" continue_to_buy = input(\"Continue to buy? (yes/no)\")\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3654f87b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'book'}\n"
]
}
],
"source": [
"customer_orders = get_customer_orders()\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1e430668",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" inventory[product] = inventory[product] - 1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "950f0d35",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 5, 'hat': 31, 'book': 44, 'keychain': 2}\n"
]
}
],
"source": [
"update_inventory(customer_orders, inventory)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "a86c7593",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" return (len(customer_orders), (len(customer_orders)/len(products))*100)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "b595fa90",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total products ordered: 2, percentage ordered: 40.0\n"
]
}
],
"source": [
"(total_products_ordered, percentage_ordered) = calculate_order_statistics(customer_orders, products)\n",
"print(f\"total products ordered: {total_products_ordered}, percentage ordered: {percentage_ordered}\")"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "0385d7e9",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" print(f\"total products ordered: {order_statistics[0]}\")\n",
" print(f\"percentage ordered: {order_statistics[1]}%\")"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "116913c8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total products ordered: 2, percentage ordered: 40.0%\n"
]
}
],
"source": [
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "dd140faf",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory :\")\n",
" for product in inventory.keys():\n",
" print(f\" {product}: {inventory[product]}\")"
]
},
{
"cell_type": "markdown",
"id": "1c849eb0",
"metadata": {},
"source": [
"call the functions in approppriate sequence"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "1d8e82d6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total products ordered: 3\n",
"percentage ordered: 60.0%\n",
"Updated Inventory :\n",
" t-shirt: 23\n",
" mug: 33\n",
" hat: 53\n",
" book: 1\n",
" keychain: 45\n"
]
}
],
"source": [
"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)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4181c08d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +291,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.11.13"
}
},
"nbformat": 4,
Expand Down