*       is strongly recommended.
 *   <li>Streams are standard Java, not requiring a third-party dependency (but do render your code
 *       incompatible with Java 7 and earlier).
 * </ul>
 *
 * <h3>Example</h3>
 *
 * <p>Here is an example that accepts a list from a database call, filters it based on a predicate,

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

- github.com/coreos/etcd: [v3.3.13+incompatible](https://github.com/coreos/etcd/tree/v3.3.13)
- github.com/coreos/go-systemd: [95778df](https://github.com/coreos/go-systemd/tree/95778df)
- github.com/coreos/pkg: [399ea9e](https://github.com/coreos/pkg/tree/399ea9e)
- github.com/dgrijalva/jwt-go: [v3.2.0+incompatible](https://github.com/dgrijalva/jwt-go/tree/v3.2.0)

_Nothing has changed._

### Changed
- github.com/coredns/corefile-migration: [v1.0.21 → v1.0.24](https://github.com/coredns/corefile-migration/compare/v1.0.21...v1.0.24)
- github.com/coreos/etcd: [v3.3.13+incompatible → v3.3.10+incompatible](https://github.com/coreos/etcd/compare/v3.3.13...v3.3.10)
- github.com/magiconair/properties: [v1.8.1 → v1.8.0](https://github.com/magiconair/properties/compare/v1.8.1...v1.8.0)

Pydantic est une bibliothèque permettant de définir la validation, la sérialisation et la documentation des données (à l'aide de JSON Schema) en se basant sur les Python type hints.

Cela le rend extrêmement intuitif.

Il est comparable à Marshmallow. Bien qu'il soit plus rapide que Marshmallow dans les benchmarks. Et comme il est
basé sur les mêmes type hints Python, le support de l'éditeur est grand.

/// check | **FastAPI** l'utilise pour

Un detalle interesante es que el porcentaje de **CPU utilizado** por cada proceso puede **variar** mucho con el tiempo, pero la **memoria (RAM)** normalmente permanece más o menos **estable**.

Si tienes una API que hace una cantidad comparable de cálculos cada vez y tienes muchos clientes, entonces la **utilización de CPU** probablemente *también sea estable* (en lugar de constantemente subir y bajar rápidamente).

### Ejemplos de Herramientas y Estrategias de Replicación

		if err != nil {
			writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
			return
		}
	}
	addErr := func(msg string) {}

	// Write a version for making *incompatible* changes.
	// The AdminClient will reject any version it does not know.
	var inspectZipW *zip.Writer
	if publicKey != nil {
		w.WriteHeader(200)
		stream := estream.NewWriter(w)
		defer stream.Close()

///

Now, imagine that with **many** other **packages** that all your **projects depend on**. That's very difficult to manage. And you would probably end up running some projects with some **incompatible versions** of the packages, and not knowing why something isn't working.

## Version 3.9.0

_2017-09-03_

 *  **Interceptors are more capable.** The `Chain` interface now offers access
    to the call and can adjust all call timeouts. Note that this change is
    source-incompatible for code that implements the `Chain` interface.
    We don't expect this to be a problem in practice!

 *  **OkHttp has an experimental new API for tracking metrics.** The new

    return catchingMoreGeneric(exceptionType, fallback, executor);
  }

  // Avoids generic type capture inconsistency problems where |? extends V| is incompatible with V.
  private <X extends Throwable, W extends V> ClosingFuture<V> catchingMoreGeneric(
      Class<X> exceptionType, ClosingFunction<? super X, W> fallback, Executor executor) {
    checkNotNull(fallback);