Understanding the Power of *args and **kwargs!
What Are Variable Positional Arguments (*args)?
In Python, functions are generally designed to accept a fixed number of arguments. However, what if you don't know how many arguments will be passed? This is where variable positional arguments (*args) come into play.
With *args, you can define a function that accepts any number of positional arguments whether it’s one or a hundred, *args will handle them seamlessly.
It allows you to write flexible functions that can handle various input sizes, making your code more robust and adaptable.
Practical Real-Life Example for *args: Party Planner!
def party_planner(a, b, c, *args):
print("Main Courses:", a, b, c)
print("Side Dishes:", args)
return len(args)
if party_planner("Burger", "Pizza", "Pepsi", "Fries", "Salad") == 2:
print("Great, Group 1 is ready!")
if party_planner("Chicken", "Pasta", "Veggie", "Rice", "Soup", "Bread") == 3:
print("Perfect, Group 2 is ready!")
Explanation:
*args (Arbitrary Positional Arguments):
A Real-Life Example for Keyword Arguments (**kwargs) in Python:
def process_order(customer_name, **kwargs):
print(f"Processing order for {customer_name}")
print("Order Details:")
for key, value in kwargs.items():
print(f"{key}: {value}")
return len(kwargs)
if process_order("Alice", table="One", Instructions="No", paid=True) == 3:
print("Order for Alice processed successfully!")
if process_order("Bob", table="Two", paid="No") == 2:
print("Order for Bob processed successfully!")
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**kwargs (Arbitrary Keyword Arguments):
Tips:
By mastering both *args and **kwargs, you unlock the ability to design highly flexible and scalable functions in Python that adapt to real-world scenarios like dynamic data input, customisable settings, and multi-parameter requests.