In Python, you can add *any number of arguments* to a function, and `*args` and `**kwargs` can be helpful.

We should remember that asterisks `*` help in 
**packing** and **unpacking** values.

Let’s use the same `add` function as in the previous chapter but with the use of `*args`.
``` python
def add(*args):
    result = 0
    for num in args:
        result += num
    return result
```
The difference is that you can pass **any number** of arguments to the function; even if you do not pass *any arguments*, the result will be 0, just like a calculator in your phone.



The function `add` receives any number of arguments and **packs** them into a **tuple** with the variable name `args`. The `for loop` goes through the tuple values and adds them to the *result* variable in the body of the function.

> Note
>
> You can use not only `*args` but any name. However, it is best practice to use the name `args` for arbitrary arguments.

Arbitrary arguments must appear after the positional and optional arguments.

``` python
def add(a, b=0, *args):
    result = a + b
    for num in args:
        result += num
    return result
```

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.

Intermediate Python Techniques

*args