In fact there are still more methods, as you can see if you execute `inspect(10, all=True)`.

## A Little Mystery

In this lecture we claimed that Python is object oriented.

In this lecture we claimed that Python is, at heart, an object oriented language.

But here's an example that looks more procedural.

m

```

If Python is object oriented, why don't we use `x.len()`? Isn't this

inconsistent?

If Python is object oriented, why don't we use `x.len()`?

The answers are related to the fact that Python aims for consistent style.

The answer is related to the fact that Python aims for readability and consistent style.

In Python, it is common for users to build custom objects --- we discuss how to

do this [later](python_oop)`.

do this {doc}`later <python_oop>`.

It's quite common for users to add methods to their that measure the length of

the object, suitably defined.

If some users choose `len()` and others choose `length()`, then the style will

be inconsistent and harder to remember.

To avoid this, the creator of Python chose to have some built-in functions

like `len()`, to make clear that `len()` is the convention.

To avoid this, the creator of Python chose to add

`len()` as a built-in function, to help emphasize that `len()` is the convention.

Now, having said all of this, Python still is object oriented under the hood.

Now, having said all of this, Python *is* still object oriented under the hood.

In fact, the list `x` discussed above has a method called `__len__()`.

* files opened for reading or writing

* integers, etc.

Remember that everything is an object will help you interact with your programs

and write clear Pythonic code.

## Exercises