Summary  
This chapter explains how to define functions that accept arbitrary keyword arguments using **kwargs—packing them into a dictionary—shows how to unpack dictionaries with ** when calling such functions, and outlines the correct order of positional, default, *args, and **kwargs parameters.

General domain of usage  
Creating flexible, customizable function interfaces for handling variable inputs.

Now, let's move on to `keyword arbitrary arguments` or `**kwargs`. The principle of how `**kwargs` works is the same as for `*args`, but it accepts **keyword arguments** instead of **positional** ones. `**kwargs` packs information into a **dictionary**, so we will work with it accordingly.



def personal_info(name, **kwargs):
    print(f"Name: {name}")
    for key, value in kwargs.items():
        print(f"{key.capitalize()}: {value}")

personal_info("Sarah", surname="Conor", son="John")
personal_info("Natalie", cats="3", breed="Maine Coon")

The correct order for the arguments is as follows:

1. Positional
2. Optional
3. *args
4. **kwargs



def new_func(a, b=0, *args, **kwargs):
	print(f"a = {a}, b = {b}, args = {args}, kwargs = {kwargs}")

new_func(1, 2, "Love", "Hope", name="Anna", age=20)

If you want to unpack dictionaries, you need to use `**` before the dictionary variable.

What does **kwargs in a Python function signature represent?

What will print_details(name="Alice", age=30) output?

Given the function definition below, which call is valid?

In this course, you will learn advanced topics such as function arguments, iterators, generators, closures, and decorators. Dozens of practice exercises will help you grasp these topics.

You'll find this topic enjoyable, and you'll learn how to pack and unpack values in a single assignment.

Explore the power of Python's function arguments, *args, **kwargs, and learn how to effectively use functions as arguments.

Discover the higher-order functions and how functions can be passed as arguments to other functions in programming.

What is variable scope, and how did we manage without it before? This topic is essential for understanding the following subjects: Closures and Decorators. I assure you that this topic will be both enjoyable and practical. You will gain knowledge about local, nonlocal, and global variables.

This section provides an in-depth exploration of Python decorators, a powerful feature that allows for the modification and enhancement of function behavior. Participants will learn how to write their own decorators, understand built-in decorators, and apply decorators in practical scenarios.

Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions

Awesome!

Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions