Aquí hay un poquito de esa historia.

## Alternativas { #alternatives }

He estado creando APIs con requisitos complejos durante varios años (Machine Learning, sistemas distribuidos, trabajos asíncronos, bases de datos NoSQL, etc.), liderando varios equipos de desarrolladores.

Como parte de eso, necesitaba investigar, probar y usar muchas alternativas.

La historia de **FastAPI** es en gran parte la historia de sus predecesores.

	"net/http"
	"slices"
	"sync/atomic"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/pkg/v3/wildcard"
)

var (
	// StubCreatedAt is a constant timestamp for testing
	StubCreatedAt = time.Date(2024, time.January, 1, 15, 0, 0, 0, time.UTC)
	// StubCreatedBy is a constant created identity for testing
	StubCreatedBy = "MinIO"
)

// NewStub returns a stub of KMS for testing
func NewStub(defaultKeyName string) *KMS {

  - family-names: Zheng
    given-names: Xiaoqiang
identifiers:
  - type: doi
    value: 10.5281/zenodo.4724125
    description: The concept DOI for the collection containing all versions of the Citation File Format.
date-released: "2015-11-09"
license: "Apache-2.0"
doi: 10.5281/zenodo.4724125

    assertThat(cookie.name).isEqualTo("a")
    assertThat(cookie.value).isEqualTo("android")
    assertThat(cookie.commentURL).isNull()
    assertThat(cookie.discard).isFalse()
    // Converting to a fixed date can cause rounding!
    assertThat(cookie.maxAge.toDouble()).isCloseTo(60.0, 5.0)
    assertThat(cookie.path).isEqualTo("/path")
    assertThat(cookie.secure).isTrue()
  }

  @Test

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python

import org.gradle.util.internal.VersionNumber
import org.jetbrains.annotations.VisibleForTesting
import org.jsoup.Jsoup

/**
 * Fetch the latest AGP versions and write a properties file.
 * Never up-to-date, non-cacheable.
 *
 * AGP major versions are aligned with Gradle major versions.
 * IOW, AGP X.y officially only supports Gradle X.z.
 *
 * This task leverages that alignment to automatically select which

labels.search_result_sort_filename_asc=par nom de fichier (asc)
labels.search_result_sort_filename_desc=par nom de fichier (desc)
labels.search_result_sort_created_asc=par date (asc)
labels.search_result_sort_created_desc=par date (desc)
labels.search_result_sort_content_length_asc=par taille (asc)
labels.search_result_sort_content_length_desc=par taille (desc)

	errAuthentication     = errors.New("Authentication failed, check your access credentials")
	errNoAuthToken        = errors.New("JWT token missing")
	errSkewedAuthTime     = errors.New("Skewed authentication date/time")
	errMalformedAuth      = errors.New("Malformed authentication input")
)

func authenticateNode(accessKey, secretKey string) (string, error) {
	claims := xjwt.NewStandardClaims()

Para lograr esto, normalmente tendrás un **programa separado** que se asegurará de que tu aplicación se ejecute al iniciarse. Y en muchos casos, también se asegurará de que otros componentes o aplicaciones se ejecuten, por ejemplo, una base de datos.

### Herramientas de Ejemplo para Ejecutar al Iniciar { #example-tools-to-run-at-startup }

Algunos ejemplos de las herramientas que pueden hacer este trabajo son:

* Docker
* Kubernetes
* Docker Compose