In programming, there's a special syntax for passing any number of named parameters to a function. This syntax is called `**kwargs`. 

`**kwargs` allows a function to accept any number of named arguments and treat them as a dictionary.

def example_function(**kwargs):
    for key, value in kwargs.items():
        print(f'{key}: {value}')

# Example function call
example_function(name='John', age=25, city='New York')

In this example, `**kwargs` receives named arguments and prints their keys and values.

> ### Note
The `.items()` method is used to obtain a list of key-value pairs (items) from a dictionary in Python. Each element in this list is represented as a tuple (key, value).

By the end of this course, you'll have a solid grasp of how important functions are in Python, no matter your field in computer science. We'll cover creating functions, defining arguments, handling return values, and exploring their use in Python.

Now we will consider what a function in Python and some basic techniques used to create functions is: what are the arguments of the function, what is the return value of the function, what is the body of the function, and how to use the function in the code.

Python is a fairly flexible language in terms of creating functions. This is especially true in setting function arguments - there are several different types of function arguments, and you can choose any of them depending on the problem you are solving. Let's now take a closer look at them.

This section of the Python course covers *args and **kwargs, which allow you to handle variable numbers of positional and keyword arguments in functions. `*args` lets you pass any number of positional arguments, making functions more flexible. **kwargs allows you to pass any number of keyword arguments as a dictionary, which facilitates handling complex data structures efficiently.

The return value of a function is the direct result of the execution of the function, which we can use in the program. There are several types of function return values - now we will consider the most commonly used.

Now it's time to consider additional topics to help make your functions more flexible and solve more complicated tasks. You will understand recursion, lambda functions, and some basics principles of writing effective and maintainable functions.

Python Functions Tutorial

Arbitrary Keyword Arguments

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Python Functions Tutorial

Arbitrary Keyword Arguments

Note

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