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178 changes: 176 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 +43,185 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 89,
"id": "af6eedc9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 3, 'book': 3, 'hat': 3, 'keychain': 3}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"book\", \"hat\", \"keychain\"]\n",
"\n",
"def initialized_inventory(products):\n",
" inventory = {}\n",
" for item in products:\n",
" quantity = int(input(f\"Introduce la cantidad de {item}: \"))\n",
"\n",
" inventory[item] = quantity\n",
"\n",
" return inventory\n",
"\n",
"\n",
"inventory = initialized_inventory(products)\n",
"\n",
"print(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "3e41d458",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Thanks for your order\n",
"{'mug', 'hat'}\n"
]
}
],
"source": [
"def get_customer_orders():\n",
" customer_orders = set ()\n",
" \n",
" while True:\n",
" orders = input(\"which product do you want to order?: \")\n",
" customer_orders.add(orders)\n",
"\n",
" continue_buying = input(\"Do you want to order more?: \").lower()\n",
"\n",
" if continue_buying != \"yes\":\n",
" print(\"Thanks for your order\")\n",
" break\n",
"\n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"print(customer_orders)\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 93,
"id": "085adf85",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug': 1, 'hat': 1}\n"
]
}
],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" updated_inventory = {}\n",
"\n",
" for product in customer_orders:\n",
" inventory[product] -= 1\n",
" \n",
" updated_inventory[product]=inventory[product]\n",
" \n",
" return updated_inventory\n",
"\n",
"updated_inventory = update_inventory(customer_orders,inventory)\n",
"\n",
"print(updated_inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": 95,
"id": "948a9b34",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 40.0)\n"
]
}
],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" \n",
" order_statistics = []\n",
" \n",
" for product in customer_orders:\n",
" total_ordered = len(customer_orders)\n",
" \n",
" for product in products:\n",
" porcentaje = len(customer_orders) / len(products) * 100\n",
"\n",
" return total_ordered, porcentaje\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"print(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "89590aa7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 40.0)\n"
]
}
],
"source": [
"def print_order_statistics(order_statistics):\n",
" return order_statistics\n",
"\n",
"print(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 100,
"id": "3ffb71c7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 1, 'book': 3, 'hat': 1, 'keychain': 3}\n"
]
}
],
"source": [
"def print_updated_inventory(inventory):\n",
" return inventory\n",
"\n",
"print(inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +235,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down