Python, an open-source and high-level programming language, is known for its simplicity and readability, making it a favorite among both novice and experienced developers. One aspect that contributes to Python’s simplicity is its vast library of built-in functions.

Let’s have a look at some of these functions and see them in action.

## Len Function Link to heading

The `len()`

function returns the number of items in an object. This could be the number of elements in a list, characters in a string, items in a dictionary, and so on.

```
# Example usage of len() function
my_list = [1, 2, 3, 4, 5]
print(len(my_list)) # Output: 5
```

## Sum Function Link to heading

The `sum()`

function returns the sum of all items in an iterable. This function is handy when you want to add up all the numbers in a list or tuple quickly.

```
# Example usage of sum() function
my_list = [1, 2, 3, 4, 5]
print(sum(my_list)) # Output: 15
```

## Sorted Function Link to heading

The `sorted()`

function returns a new sorted list from the elements of any iterable.

```
# Example usage of sorted() function
my_list = [5, 1, 3, 4, 2]
print(sorted(my_list)) # Output: [1, 2, 3, 4, 5]
```

## Round Function Link to heading

The `round()`

function rounds a number to the nearest integer, or to the specified number of decimals if the second parameter is provided.

```
# Example usage of round() function
print(round(3.14159)) # Output: 3
print(round(3.14159, 2)) # Output: 3.14
```

These are just a few examples of Python’s built-in functions. Others include `abs()`

, `all()`

, `any()`

, `enumerate()`

, `filter()`

, `map()`

, and many more. Familiarizing yourself with these functions can greatly increase your productivity and efficiency as a Python programmer.

Remember, programming is about problem-solving. The more tools you have in your toolbox, and the better you understand how to use them, the more capable you’ll be at tackling whatever programming challenge comes your way.

For further reading on Python’s built-in functions, check out the Python documentation.