Outro grande recurso necessário pelas APIs é a <abbr title="ler e converter para dados Python">análise</abbr> de dados vindos de requisições.

Webargs é uma ferramente feita para fornecer o que está no topo de vários frameworks, inclusive Flask.

Ele utiliza Marshmallow por baixo para validação de dados. E ele foi criado pelos mesmos desenvolvedores.

			Key:         config.APISubSys,
			Description: "manage global HTTP API call specific features, such as throttling, authentication types, etc.",
		},
		config.HelpKV{
			Key:         config.ScannerSubSys,
			Description: "manage namespace scanning for usage calculation, lifecycle, healing and more",
		},
		config.HelpKV{
			Key:         config.BatchSubSys,
			Description: "manage batch job workers and wait times",
		},

```
api                   manage global HTTP API call specific features, such as throttling, authentication types, etc.
heal                  manage object healing frequency and bitrot verification checks
scanner               manage namespace scanning for usage calculation, lifecycle, healing and more
```

* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.

## Container Images

Docker has been one of the main tools to create and manage **container images** and **containers**.

And there's a public <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> with pre-made **official container images** for many tools, environments, databases, and applications.

Ce qu'il faut retenir c'est qu'en utilisant les types standard de Python, à un seul endroit (plutôt que d'ajouter plus de classes, de décorateurs, etc.), **FastAPI** fera une grande partie du travail pour vous.

!!! info

  private final ServiceManagerState state;

  private final ImmutableList<Service> services;

  /**
   * Constructs a new instance for managing the given services.
   *
   * @param services The services to manage
   * @throws IllegalArgumentException if not all services are {@linkplain State#NEW new} or if there
   *     are any duplicate services.
   */
  public ServiceManager(Iterable<? extends Service> services) {

	outputFormat := "short"

	logCmd := &cobra.Command{
		Use:   "log [<pod-name>]|[-r|--revision] [--level <scope>:<level>][--stack-trace-level <scope>:<level>]|[--reset]|[--output|-o short|json|yaml]",
		Short: "Manage istiod logging.",
		Long:  "Retrieve or update logging levels of istiod components.",
		Example: `  # Retrieve information about istiod logging levels.
  istioctl admin log

		"The value portion of the label which will be set by the race repair if label pods is true")
	registerStringParameter(constants.RepairNodeName, "", "The name of the managed node (will manage all nodes if unset)")
	registerStringParameter(constants.RepairSidecarAnnotation, "sidecar.istio.io/status",
		"An annotation key that indicates this pod contains an istio sidecar. All pods without this annotation will be ignored."+

## Outils précédents

### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a>

C'est le framework Python le plus populaire et il bénéficie d'une grande confiance. Il est utilisé pour construire
des systèmes tel qu'Instagram.

Il est relativement fortement couplé aux bases de données relationnelles (comme MySQL ou PostgreSQL), de sorte qu'il