The most common usage of **packing** and **unpacking** can be seen in the following examples.

### Values Swapping
Typically, to swap the values of variables, you might use an additional temporary variable:
``` python
a = 2
b = 3

temp = a  # temp = 2, a = 2, b = 3
a = b  # temp = 2, a = 3, b = 3
b = temp  # temp = 2, a = 3, b = 2
```
Simply put, unpacking enables you to swap values between variables in a more concise manner:
``` python
a, b = 2, 3

a, b = b, a # a = 3, b = 2
```



### Dropping Unneeded Values

If you only need the first values from an iterable object, you can pass the unneeded values to the *_ variable. 

``` python
my_list = ['Monica', 25, 'Doctor', 'Brazil']

name, age, *_ = my_list
```
>Note
>
> We use '_' single underscore for ignoring values: It's common to use _ as a throwaway variable to indicate that a specific value in a tuple unpacking is intentionally being ignored.

What is the value of 'c' after it is executed?

What does the following code snippet accomplish?

What is the result of the following Python code?

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

Packing and Unpacking Usage

Values Swapping

Dropping Unneeded Values