* Sie können tief **verschachtelte JSON** Objekte haben, die alle validiert und annotiert sind.
* **Erweiterbar**:
    * Pydantic erlaubt die Definition von eigenen Datentypen oder sie können die Validierung mit einer `validator`-dekorierten Methode im Modell erweitern.

With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.

   | However, this repository may have problems with heavy traffic at times, so people have mirrored
   | it to several places.
   |
   | That repository definition will have a unique id, so we can create a mirror reference for that
   | repository, to be used as an alternate download site. The mirror site will be the preferred
   | server for that repository.
   |-->
  <mirrors>

				return err
			}
		}
	}
	return nil
}

// Option gorm option interface
type Option interface {
	Apply(*Config) error
	AfterInitialize(*DB) error
}

// DB GORM DB definition
type DB struct {
	*Config
	Error        error
	RowsAffected int64
	Statement    *Statement
	clone        int
}

// Session session config when create session with Session() method

  In the event the '-o' switch is the impetus for setting offline mode, this
  should result in modification of the active profile in the MavenSettings
  instance, just as definition of the active profile from the command-line
  should result in similar modification. This object is not meant to be
  static within the build process, but rather to be setup as an aggregation of

	}
	return false
}

// ScanWords is a split function for a [Scanner] that returns each
// space-separated word of text, with surrounding spaces deleted. It will
// never return an empty string. The definition of space is set by
// unicode.IsSpace.
func ScanWords(data []byte, atEOF bool) (advance int, token []byte, err error) {
	// Skip leading spaces.
	start := 0
	for width := 0; start < len(data); start += width {

Con **FastAPI** obtienes todas las funcionalidades de **Pydantic** (ya que FastAPI está basado en Pydantic para todo el manejo de datos):

* **Sin complicaciones**:
    * Sin micro-lenguaje de definición de esquemas nuevo que aprender.
    * Si conoces los tipos en Python sabes cómo usar Pydantic.

- Kube-apiserver: openapi schemas published for custom resources now reference standard ListMeta schema definitions ([#92546](https://github.com/kubernetes/kubernetes/pull/92546), [@liggitt](https://github.com/liggitt)) [SIG API Machinery]

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic authentication
* HTTP Digest
* ISO format
* the JSON Schema standard
* the JSON schema
* the schema definition
* Password Flow
* Mobile

* deprecated
* designed
* invalid
* on the fly
* standard
* default
* case-sensitive
* case-insensitive

* to serve the application

* Ciencia de datos
* Deep Learning
* Machine Learning
* Inyección de dependencias
* autenticación HTTP Basic
* HTTP Digest
* formato ISO
* el estándar JSON Schema
* el JSON Schema
* la definición del esquema
* Flujo de contraseña
* Móvil

* obsoleto
* diseñado
* inválido
* sobre la marcha
* estándar
* por defecto
* sensible a mayúsculas/minúsculas