## Password hashing

"Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

Whenever you pass exactly the same content (exactly the same password) you get exactly the same gibberish.

But you cannot convert from the gibberish back to the password.

### Why use password hashing

If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** 💸, and probably **wasting server electric power** 🌎, etc.

We can declare all that without having to modify the original `APIRouter` by passing those parameters to `app.include_router()`:

```Python hl_lines="14-17" title="app/main.py"
{!../../../docs_src/bigger_applications/app/main.py!}
```

All this renewal process, while still serving the app, is one of the main reasons why you would want to have a **separate system to handle HTTPS** with a TLS Termination Proxy instead of just using the TLS certificates with the application server directly (e.g. Uvicorn).

## Recap

---

Here's how to help others with questions (in discussions or issues):

### Understand the question

* Check if you can understand what is the **purpose** and use case of the person asking.

* Then check if the question (the vast majority are questions) is **clear**.

    Если вам это не знакомо, вы можете узнать про "хэш пароля" в [главах о безопасности](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

## Множественные модели

Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:

=== "Python 3.10+"

    Für OAuth2 sind es einfach nur Strings.

## Gesamtübersicht

Sehen wir uns zunächst kurz die Teile an, die sich gegenüber den Beispielen im Haupt-**Tutorial – Benutzerhandbuch** für [OAuth2 mit Password (und Hashing), Bearer mit JWT-Tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank} ändern. Diesmal verwenden wir OAuth2-Scopes:

=== "Python 3.10+"

But all this functionality of using asynchronous code with `async` and `await` is many times summarized as using "coroutines". It is comparable to the main key feature of Go, the "Goroutines".

## Conclusion

Let's see the same phrase from above:

> Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.