It means that **FastAPI** was specifically tested with the editors used by 80% of the Python developers. And as most of the other editors tend to work similarly, all its benefits should work for virtually all editors.

That way I could find the best ways to reduce code duplication as much as possible, to have completion everywhere, type and error checks, etc.

            while (interfaces.hasMoreElements()) {
                NetworkInterface ni = interfaces.nextElement();

                if (!ni.isUp() || ni.isLoopback() || ni.isVirtual()) {
                    continue;
                }

                Enumeration<InetAddress> addresses = ni.getInetAddresses();
                while (addresses.hasMoreElements()) {

* sysctl support is now considered beta ([ref](https://github.com/kubernetes/enhancements/issues/34))
* Support for Azure Virtual Machine Scale Sets is now considered beta. ([ref](https://github.com/kubernetes/enhancements/issues/513))
* Azure support for Cluster Autoscaler is now considered beta. ([ref](https://github.com/kubernetes/enhancements/issues/514))

      /*
       * FinalizableReference's class loader was reclaimed. While there's a chance that other
       * finalizable references could be enqueued subsequently (at which point the class loader
       * would be resurrected by virtue of us having a strong reference to it), we should pretty
       * much just shut down and make sure we don't keep it alive any longer than necessary.
       */
      return null;
    }
    try {

Incluso se hicieron algunos cambios en Pydantic para admitir esto.

Las capturas de pantalla anteriores se tomaron con <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Pero obtendrías el mismo soporte en el editor con <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> y la mayoría de los otros editores de Python:

- Kubernetes is now built with go 1.22.5 ([#125896](https://github.com/kubernetes/kubernetes/pull/125896), [@cpanato](https://github.com/cpanato)) [SIG Release and Testing]

### Bug or Regression

* Intégration Python facile avec **Jupyter Kernels** pour le développement à distance ou intra-Docker avec des extensions comme Atom Hydrogen ou Visual Studio Code Jupyter.
* Frontend **Vue** :
    * Généré avec Vue CLI.
    * Gestion de l'**Authentification JWT**.
    * Page de connexion.
    * Après la connexion, page de tableau de bord principal.

Були навіть деякі зміни в самому Pydantic, щоб підтримати це.

Попередні скріншоти були зроблені у <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Але ви отримаєте ту саму підтримку редактора у <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> та більшість інших редакторів Python:

Des changements sur Pydantic ont même été faits pour supporter cela.

Les captures d'écrans précédentes ont été prises sur <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Mais vous auriez le même support de l'éditeur avec <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> et la majorité des autres éditeurs de code Python.

There were even some changes to Pydantic itself to support this.

The previous screenshots were taken with <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

But you would get the same editor support with <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> and most of the other Python editors: