First of all, let`s learn what **positional**, **keyword**, and **optional** arguments are.

``` python
def add(a, b, c):
    return a + b + c
```
The example above uses positional arguments. If you pass a different number of arguments, an error will occur. To call the function `add(1, 2, 3)`, you just pass the arguments by their *positions*. The **positional argument** is a mandatory one.




``` python
add(b=2, c=3, a=1)
```
Also, you can pass arguments using **names**. And there are **keyword arguments**. In this case, you do not need to *follow the order* of the arguments.

def add(a, b, c = 0):
    return a + b + c
print(add(1, 2))
print(add(1, 2, 3))

After giving a default value to the argument, it becomes an **optional** one. So, you may pass it, and if not, the function will use the *default value*.

Chose right names to correspond arguments. 

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

Arguments Overview