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Update lab-python-functions.ipynb #704

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162 changes: 160 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 +43,169 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "2e530946",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "3bef3da7",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {}\n",
"\n",
" for product in products:\n",
"\n",
" quantity = int(input(\"Enter the quantity of \" + product + \": \"))\n",
" inventory[product] = quantity\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "1f7e4771",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
" sigue_añadiendo = \"si\"\n",
"\n",
" while sigue_añadiendo == \"si\":\n",
" producto = input(\"Dime un producto que quieras pedir: \")\n",
" \n",
" if producto in products:\n",
" customer_orders.add(producto)\n",
" else:\n",
" print(\"Este producto no está disponible\")\n",
" sigue_añadiendo = input(\"¿Quieres añadir otro producto? (Si/No): \").lower()\n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "6e56f88d",
"metadata": {},
"outputs": [],
"source": [
"customer_orders = get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "5b1ae574",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" inventory[product] = inventory[product] - 1 \n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "3f3bc2f9",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
"\n",
" total_products_ordered = len(customer_orders)\n",
"\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
"\n",
" order_statistics = (total_products_ordered, percentage_ordered)\n",
"\n",
" return order_statistics"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "df2590e4",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
"\n",
" print(\"Order Statistics:\")\n",
" print(\"Total Products Ordered:\", order_statistics[0])\n",
" print(\"Percentage of Products Ordered:\", order_statistics[1], \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "208cb93c",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
"\n",
" print(\"Updated Inventory:\")\n",
"\n",
" for product in inventory:\n",
" print(product, \":\", inventory[product])"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "03ca8ea6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Este producto no está disponible\n",
"Este producto no está disponible\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0 %\n",
"Updated Inventory:\n",
"t-shirt : 15\n",
"mug : 10\n",
"hat : 19\n",
"book : 24\n",
"keychain : 29\n"
]
}
],
"source": [
"inventory = initialize_inventory(products)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"inventory = 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)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +219,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.6"
}
},
"nbformat": 4,
Expand Down