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Solved Lab - Functions #478

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66 changes: 64 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 +43,73 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5bcc4073",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] # Lista de productos disponibles\n",
"inventory = {} # Diccionario vacío para guardar cantidades de inventario\n",
"\n",
"# 1) Inicializar inventario\n",
"def initialize_inventory(products): # Define una función que recibe la lista de productos\n",
" inventory = {} # Crea un diccionario vacío para el inventario\n",
" for product in products: # Recorre cada producto de la lista\n",
" qty = int(input(f\"Enter {product} quantity: \")) # Pide al usuario la cantidad de ese producto\n",
" inventory[product] = qty # Guarda la cantidad en el diccionario con el producto como clave\n",
" return inventory # Devuelve el diccionario de inventario completo\n",
"\n",
"# 2) Obtener pedidos del cliente\n",
"def get_customer_orders(): # Define una función sin parámetros\n",
" customer_orders = set() # Crea un set vacío (evita duplicados)\n",
" while True: # Inicia un bucle infinito (se rompe con break)\n",
" product = input(\"Enter one of these: t-shirt, mug, hat, book, keychain: \") # Pide un producto al cliente\n",
" customer_orders.add(product) # Añade el producto al set de pedidos\n",
" another = input(\"Do you want to add another product? (yes/no): \").lower() # Pregunta si quiere añadir más\n",
" if another == \"no\": # Si la respuesta es \"no\"\n",
" break # Sale del bucle\n",
" return customer_orders # Devuelve el set de pedidos del cliente\n",
"\n",
"# 3) Actualizar inventario\n",
"def update_inventory(customer_orders, inventory): # Define una función que recibe pedidos y el inventario\n",
" for product in customer_orders: # Recorre cada producto pedido\n",
" inventory[product] -= 1 # Resta 1 en el inventario por cada producto pedido\n",
" return inventory # Devuelve el inventario actualizado\n",
"\n",
"# 4) Calcular estadísticas\n",
"def calculate_order_statistics(customer_orders, products): # Define función que recibe pedidos y lista de productos\n",
" total_ordered = len(customer_orders) # Cuenta cuántos productos distintos pidió el cliente\n",
" percentage_unique = (len(customer_orders) / len(products)) * 100 # Calcula porcentaje de productos únicos pedidos\n",
" return total_ordered, percentage_unique # Devuelve ambos valores en una tupla\n",
"\n",
"# 5) Imprimir estadísticas\n",
"def print_order_statistics(order_statistics): # Define función que recibe la tupla de estadísticas\n",
" total_ordered, percentage_unique = order_statistics # Desempaqueta la tupla en dos variables\n",
" print(\"Total products ordered:\", total_ordered) # Imprime el total de productos pedidos\n",
" print(\"Percentage of unique products ordered:\", percentage_unique, \"%\") # Imprime el porcentaje de productos únicos\n",
"\n",
"# 6) Imprimir inventario actualizado\n",
"def print_updated_inventory(inventory): # Define función que recibe el inventario\n",
" print(\"Updated Inventory:\") # Imprime encabezado\n",
" for product, qty in inventory.items(): # Recorre cada par producto-cantidad en el inventario\n",
" print(f\"{product}: {qty}\") # Imprime producto y su cantidad\n",
"\n",
"# --- Ejecución en orden ---\n",
"inventory = initialize_inventory(products) # Paso 1: inicializar inventario pidiendo cantidades\n",
"customer_orders = get_customer_orders() # Paso 2: obtener pedidos del cliente\n",
"inventory = update_inventory(customer_orders, inventory) # Paso 3: actualizar inventario según pedidos\n",
"stats = calculate_order_statistics(customer_orders, products) # Paso 4: calcular estadísticas del pedido\n",
"print_order_statistics(stats) # Paso 5: imprimir estadísticas\n",
"print_updated_inventory(inventory) # Paso 6: imprimir inventario actualizado\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +123,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.7"
}
},
"nbformat": 4,
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