So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.

And your users would be able to login from your Django app or from your **FastAPI** app, at the same time.

///

## Hash and verify the passwords

Comme il est très simple, son apprentissage est relativement intuitif, bien que la documentation soit quelque peu
technique par moments.

Il est aussi couramment utilisé pour d'autres applications qui n'ont pas nécessairement besoin d'une base de données, de gestion des utilisateurs ou de l'une des nombreuses fonctionnalités préinstallées dans Django. Bien que beaucoup de ces fonctionnalités puissent être ajoutées avec des plug-ins.

container is built.
     * Turnkey Deployments (Deployment API (Beta) in the Extensions API group)
automate deployment and rolling updates of applications, specified
declaratively. It handles versioning, multiple simultaneous rollouts,
aggregating status across all pods, maintaining application availability, and
rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a

 *  Fix: Immediately update the connection's flow control window instead of waiting for the
    receiving stream to process it.

    This change may increase OkHttp's memory use for applications that make many concurrent HTTP
    calls and that can receive data faster than they can process it. Previously, OkHttp limited
    HTTP/2 to 16 MiB of unacknowledged data per connection. With this fix there is a limit of 16 MiB

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>À propos de la commande <code>uvicorn main:app --reload</code> ...</summary>

[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine

 *  New: `Dispatcher.getQueuedCallCount()` and
    `Dispatcher.getRunningCallCount()`. These can be useful in diagnostics.
 *  Fix: OkHttp no longer shares timeouts between pooled connections. This was
    causing some applications to crash when connections were reused.
 *  Fix: `OkApacheClient` now allows an empty `PUT` and `POST`.
 *  Fix: Websockets no longer rebuffer socket streams.
 *  Fix: Websockets are now better at handling close frames.

**PLEASE READ: This feature is meant for advanced usecases only where the setup is using bucket versioning or with replicated buckets, use this feature to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

     *     OkHttp needs to build a clean certificate chain. This method instead must use reflection
     *     to extract the trust manager. Applications should prefer to call
     *     `sslSocketFactory(SSLSocketFactory, X509TrustManager)`, which avoids such reflection.
     */
    @Deprecated(

#### Conclusion

Dans ce scénario des "burgers du fast-food avec votre crush", comme il y a beaucoup d'attente 🕙, il est très logique d'avoir un système concurrent ⏸🔀⏯.

Et c'est le cas pour la plupart des applications web.

Vous aurez de nombreux, nombreux utilisateurs, mais votre serveur attendra 🕙 que leur connexion peu performante envoie des requêtes.

Puis vous attendrez 🕙 de nouveau que leurs réponses reviennent.