Improve motivating example for Maybe

The current example motivating the use of `Maybe` is somewhat misleading because it solves a made-up problem:

Alleged original "python" code:
```python
if user is not None:
balance = user.get_balance()
if balance is not None:
credit = balance.credit_amount()
if credit is not None and credit > 0:
discount_program = choose_discount(credit)
```
Alleged "better" solution using `Maybe`:
```python
discount_program: Maybe['DiscountProgram'] = Maybe.from_optional(
user,
).bind_optional( # This won't be called if `user is None`
lambda real_user: real_user.get_balance(),
).bind_optional( # This won't be called if `real_user.get_balance()` is None
lambda balance: balance.credit_amount(),
).bind_optional( # And so on!
lambda credit: choose_discount(credit) if credit > 0 else None,
)
```

Usual python code solving this exact problem:
```python
try:
discount_program = choose_discount(user.get_balance().credit_amount())
except AttributeError:
pass
```

The example is based on the very bad habit of signaling errors by return values, e.g. returning `None`.

No sane (python) developer would write a function that returns `None` in case of an error _unless there is good reason for it_, it is _properly documented_ and _returning None immediately and unambiguously_ tells the caller what went wrong. **When exceptions occur, exceptions should be raised.**

For example, `credit_amount()` returning `None` conveys no meaning at all. No credit? Credit amount == 0? Credit amount < 0? Raccoons taking over the world?

And even if one had to use flawed 3rd party code like this, there is a shorter and more concise version to handle this _without_ `Maybe`.

I believe there is a legitimate use case for `Maybe`, but this is not it.

Comece localizando a seção da documentação que contém o exemplo atual de motivação para Maybe; nenhuma arquivo ou teste é indicado na issue. Compare o exemplo com as alternativas em Python mencionadas e esclareça o caso de uso pretendido. A tarefa estará concluída quando a documentação apresentar uma motivação convincente sem tratar retornos ambíguos de None como tratamento comum de erros.

Escrita pelo modelo de indexação a partir do texto da issue.