Summary  
This chapter covers defining functions with positional parameters and invoking them using ordered or named arguments, leveraging default values to enhance readability.

General domain of usage  
Configurable Python function development

In Python, **positional arguments** are function arguments passed to a function based on their position or order. When defining a function, you can specify the parameters it expects. When calling the function, you provide the corresponding arguments in the same order as the parameters.

```python
def function_name(argument1, argument2):
    ...
```

In previous chapters, you used positional arguments by placing them in parentheses `()` and calling the function with arguments in the correct order.

You can also specify arguments using a **dictionary**, where each key represents the argument name and each value represents the argument value:


```python
def function_name(argument_name=default_value):
    ...
```

Using this type of specification allows us to specify arguments in any order.

# Function with two positional arguments
def greet(name, age):
    print(f'Hello, {name}! You are {age} years old.')

# Calling the `greet()` function using dictionary
greet(age=25, name='Alex')

# Calling the `greet()` function using ordered values
greet('Alex', 25)

This method of setting arguments is preferable because it enhances the readability and interpretability of the code.

Which statements are true about the function calls?

Gain a solid understanding of how functions shape Python programming. Master defining and calling functions, working with arguments, handling return values, and creating flexible, efficient code using recursion and lambda expressions.

Explore what functions are and why they're essential in Python. Learn how to create functions, define arguments, handle return values, and use built-in functions effectively.

Learn how positional and optional arguments work in Python. Build adaptable functions that handle different inputs and improve flexibility in your code.

Understand how to work with arbitrary and keyword arguments to handle variable input sizes. Learn how these techniques make your functions more dynamic and organized.

Discover how return values represent a function's output. Learn to return single or multiple values, use None, and explore generators for more advanced data flow control.

Unlock advanced function concepts with recursion and lambda functions. Learn how recursion solves repetitive problems and how lambda expressions create concise, one-line functions.

Positional Arguments

Awesome!

Positional Arguments