여러분은 타입을 이용한 표준 파이썬을 다음과 같이 적을 수 있습니다:

```Python
from datetime import date

from pydantic import BaseModel

# 변수를 str로 선언
# 그 후 함수 안에서 편집기 지원을 받으세요
def main(user_id: str):
    return user_id


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

위의 코드는 다음과 같이 사용될 수 있습니다:

```Python

* Mobile

* descontinuado
* projetado
* inválido
* dinamicamente
* padrão
* padrão predefinido
* sensível a maiúsculas e minúsculas
* não sensível a maiúsculas e minúsculas

* servir a aplicação
* servir a página

* o app
* a aplicação

* a requisição
* a resposta
* a resposta de erro

* a operação de rota
* o decorador de operação de rota
* a função de operação de rota

	} else if len(stmt.Schema.PrimaryFields) != 1 {
		t.Errorf("should have only one primary field with embedded struct, but got %v", len(stmt.Schema.PrimaryFields))
	}

	for _, name := range []string{"user_id", "user_name", "user_email"} {
		if !DB.Migrator().HasColumn(&HNPost{}, name) {
			t.Errorf("should has prefixed column %v", name)
		}
	}

	// save embedded struct
	DB.Save(&HNPost{BasePost: BasePost{Title: "news"}})

编写带有类型标注的标准 Python：

```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
```

可以像这样来使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

型を使用した標準的なPythonを記述します:

```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
```

これは以下のように用いられます:

```Python

		t.Fatalf("user's updated at should not zero, %v", users[0].UpdatedAt)
	}

	if rowsAffected := DB.Model(&User{}).Clauses(clause.From{Tables: []clause.Table{{Name: "accounts"}}}).Where("accounts.user_id = users.id AND accounts.number = ? AND accounts.deleted_at IS NULL", users[0].Account.Number).Update("name", "franco").RowsAffected; rowsAffected != 1 {
		t.Errorf("should only update one record, but got %v", rowsAffected)
	}

* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

그 다음 각각에 대해 그저 의존성과 하위 의존성을 사용하여 다른 권한 요구 사항을 추가할 수 있을 겁니다:

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

如果你寫帶有 Python 型別的程式碼：

```python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```


可以像這樣來使用：

```python

* Móvil

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

* servir la aplicación
* servir la página

* la app
* la aplicación

* la request
* la response
* la response de error

* la path operation
* el decorador de path operation
* la path operation function

* Reinicios
* Replicación (la cantidad de procesos en ejecución)
* Memoria
* Pasos previos antes de iniciar

Veremos cómo afectan estas **implementaciones**.

Al final, el objetivo principal es poder **servir a tus clientes de API** de una manera que sea **segura**, para **evitar interrupciones**, y usar los **recursos de cómputo** (por ejemplo, servidores remotos/máquinas virtuales) de la manera más eficiente posible. 🚀