Nota que el parámetro de path está declarado como un entero.

///

## Beneficios basados en estándares, documentación alternativa { #standards-based-benefits-alternative-documentation }

Y porque el esquema generado es del estándar [OpenAPI](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md), hay muchas herramientas compatibles.

      },
      "reading_term_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "normalize_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard",

      },
      "reading_term_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "normalize_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard",

Puedes declarar todos los tipos estándar de Python, no solo `str`.

Puedes usar, por ejemplo:

* `int`
* `float`
* `bool`
* `bytes`

{* ../../docs_src/python_types/tutorial005_py310.py hl[1] *}

### Módulo `typing` { #typing-module }

      },
      "reading_term_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "normalize_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard",

      },
      "reading_term_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "normalize_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer_pa" : {
        "type" : "custom",
        "tokenizer" : "standard",

Wir bauen auf dem vorherigen Kapitel auf.

## Über JWT { #about-jwt }

JWT bedeutet „JSON Web Tokens“.

Es ist ein Standard, um ein JSON-Objekt in einem langen, kompakten String ohne Leerzeichen zu kodieren. Das sieht so aus:

```

///

/// info

OpenAPI 3.1.0 (used since FastAPI 0.99.0) added support for `examples`, which is part of the **JSON Schema** standard.

Before that, it only supported the keyword `example` with a single example. That is still supported by OpenAPI 3.1.0, but is deprecated and is not part of the JSON Schema standard. So you are encouraged to migrate `example` to `examples`. 🤓

You can read more at the end of this page.

///

          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",
            "arabic_normalization",
            "arabic_keywords",
            "arabic_override",
            "arabic_stemmer"
          ]
        },
        "armenian_analyzer": {
          "tokenizer":  "standard",
          "filter": [

### Solo Python moderno { #just-modern-python }

Todo está basado en declaraciones estándar de **tipos en Python** (gracias a Pydantic). Sin nueva sintaxis que aprender. Solo Python moderno estándar.

Si necesitas un repaso de 2 minutos sobre cómo usar tipos en Python (aunque no uses FastAPI), revisa el tutorial corto: [Tipos en Python](python-types.md).

Escribes Python estándar con tipos:

```Python
from datetime import date