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Update lab-python-functions.ipynb #706

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da2c478
Update lab-python-functions.ipynb
walnertpadron18 Sep 15, 2026
a67acf9
Update lab-python-functions.ipynb
walnertpadron18 Sep 16, 2026
03aa1ce
Update lab-python-functions.ipynb
walnertpadron18 Sep 16, 2026
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159 changes: 157 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 +43,166 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "dcc1c843",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for i in products:\n",
" cantidad = int(input(f\"Ingresa la cantidad disponible para '{i}': \"))\n",
" inventory[i] = cantidad\n",
" return inventory\n",
"\n",
"inventory = initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "6e67e815",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set() \n",
" seguir_comprando = input(\"¿Quieres comprar algo ? yes or no: \").lower()\n",
" while seguir_comprando == \"yes\":\n",
" product = input(\"Introduce lo que vas a comprar: \")\n",
" customer_orders.add(product)\n",
" seguir_comprando = input(\"¿Quieres seguir comprando? yes or no: \").lower()\n",
" \n",
" return customer_orders\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "26a198c4",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders , inventory):\n",
" for i in customer_orders:\n",
" inventory[i] -= 1\n"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "4f739ec5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'mug'}"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "7f75a048",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" order_statistics = len(customer_orders)\n",
" percentage_of_unique = (len(customer_orders) / len(products)) * 100\n",
" return order_statistics, percentage_of_unique\n"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "c4d479a9",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" total_products_ordered, percentage_unique_products = order_statistics\n",
" print(f\"Total de productos pedidos: {total_products_ordered}\")\n",
" print(f\"Porcentaje de productos únicos pedidos: {percentage_unique_products}%\")\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "f7d48533",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" for product, cantidad in inventory.items():\n",
" print(f\"{product}: {cantidad}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5a26c3e1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total de productos pedidos: 2\n",
"Porcentaje de productos únicos pedidos: 40.0%\n",
"t-shirt: 50\n",
"mug: 39\n",
"hat: 50\n",
"book: 39\n",
"keychain: 30\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"update_inventory(customer_orders, inventory)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"print_order_statistics(order_statistics)\n",
"\n",
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b06543eb",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +216,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.6"
}
},
"nbformat": 4,
Expand Down