You can check the currently [existing pull requests](https://github.com/fastapi/fastapi/pulls) for your language. You can filter the pull requests by the ones with the label for your language. For example, for Spanish, the label is [`lang-es`](https://github.com/fastapi/fastapi/pulls?q=is%3Aopen+sort%3Aupdated-desc+label%3Alang-es+label%3Aawaiting-review).

Declara la variable, con la misma sintaxis de dos puntos (`:`).

Como tipo, pon `list`.

Como la lista es un tipo que contiene algunos tipos internos, los pones entre corchetes:

{* ../../docs_src/python_types/tutorial006_py310.py hl[1] *}

/// info | Información

Esos tipos internos en los corchetes se denominan "parámetros de tipo".

Para ver la diferencia, imagina la siguiente historia sobre hamburguesas:

### Hamburguesas Concurrentes { #concurrent-burgers }

Vas con tu crush a conseguir comida rápida, te pones en fila mientras el cajero toma los pedidos de las personas frente a ti. 😍

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

        excludedPackages.add("org.gradle.plugins.binaries.model");

        // Exclude classes that were moved in a different package but the deprecated ones are not removed yet
        excludedPackages.add("org.gradle.platform.base.test");
        return excludedPackages;
    }

   * under the assumption that for long-running instances, observed
   * contention levels will recur, so the cells will eventually be
   * needed again; and for short-lived ones, it does not matter.
   */

  /**
   * Padded variant of AtomicLong supporting only raw accesses plus CAS. The value field is placed
   * between pads, hoping that the JVM doesn't reorder them.
   *

---

**FastAPI** doesn't make any compromise with any database, data model or tool.

It gives you all the flexibility to choose the ones that fit your project the best.

And you can use directly many well maintained and widely used packages like `pwdlib` and `PyJWT`, because **FastAPI** doesn't require any complex mechanisms to integrate external packages.

- [AEAD](#aead): AES-256-GCM if the CPU supports AES-NI, ChaCha20-Poly1305 otherwise. More specifically AES-256-GCM is only selected for X86-64 CPUs with AES-NI extension.

Further any secret key (apart from the KMS-generated ones) is 256 bits long. The KMS-generated keys may be 256 bits but this depends on the KMS capabilities and configuration.

            }
            if (body != null) {
                // Throw out the leading newline we get from parsing the body
                body = body.substring(1)
                // Replace """ quoted strings with valid json ones
                body = replaceBlockQuote(body)
                current.println("        body: |")
                body.eachLine { current.println("          $it") }
            }

* el path `/`
* usando una <dfn title="un método HTTP GET"><code>get</code> operación</dfn>

/// info | Información sobre `@decorator`

Esa sintaxis `@algo` en Python se llama un "decorador".

Lo pones encima de una función. Como un bonito sombrero decorativo (supongo que de ahí viene el término).

Un "decorador" toma la función de abajo y hace algo con ella.

        request.setPath("third\\path\\");
        assertEquals("\\third\\path", request.getPath());

        // Multiple leading backslashes - only first one gets stripped, then trailing ones get stripped
        // But getPath() adds a backslash at the beginning, so \\fourth\path\\ becomes \fourth\path\
        request.setPath("\\\\fourth\\path\\\\");
        assertEquals("\\\\fourth\\path\\", request.getPath());