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ci/official/containers/ml_build/setup.python.sh
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Thu Oct 30 20:25:44 GMT 2025 - 2.5K bytes - Click Count (0) -
docs/de/docs/tutorial/encoder.md
Das Resultat dieses Aufrufs ist etwas, das mit Pythons Standard-[`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps) kodiert werden kann. Es wird also kein großer `str` zurückgegeben, der die Daten im JSON-Format (als String) enthält. Es wird eine Python-Standarddatenstruktur (z. B. ein `dict`) zurückgegeben, mit Werten und Unterwerten, die alle mit JSON kompatibel sind.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 17:58:09 GMT 2026 - 1.8K bytes - Click Count (0) -
docs/de/docs/tutorial/response-status-code.md
/// Dem `status_code`-Parameter wird eine Zahl mit dem HTTP-Statuscode übergeben. /// info | Info Alternativ kann `status_code` auch ein `IntEnum` erhalten, wie etwa Pythons [`http.HTTPStatus`](https://docs.python.org/3/library/http.html#http.HTTPStatus). /// Dies wird: * Diesen Statuscode mit der Response zurücksenden. * Diesen im OpenAPI-Schema dokumentieren (und somit in den Benutzeroberflächen):
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 17:58:09 GMT 2026 - 4.7K bytes - Click Count (0) -
docs/de/docs/tutorial/extra-models.md
```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` und dann aufrufen: ```Python user_dict = user_in.model_dump() ``` haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts). Und wenn wir aufrufen: ```Python print(user_dict) ```
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 17:58:09 GMT 2026 - 7.7K bytes - Click Count (0) -
docs/uk/docs/advanced/advanced-python-types.md
# Просунуті типи Python { #advanced-python-types } Ось кілька додаткових ідей, які можуть бути корисні під час роботи з типами в Python. ## Використання `Union` або `Optional` { #using-union-or-optional } Якщо ваш код з якоїсь причини не може використовувати `|`, наприклад, якщо це не анотація типів, а щось на кшталт `response_model=`, замість вертикальної риски (`|`) ви можете використати `Union` з `typing`.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Sat Feb 14 08:43:14 GMT 2026 - 3.1K bytes - Click Count (0) -
docs/es/docs/advanced/advanced-python-types.md
# Tipos avanzados de Python { #advanced-python-types } Aquí tienes algunas ideas adicionales que podrían ser útiles al trabajar con tipos de Python. ## Usar `Union` u `Optional` { #using-union-or-optional } Si por alguna razón tu código no puede usar `|`, por ejemplo si no está en una anotación de tipos sino en algo como `response_model=`, en lugar de usar la barra vertical (`|`) puedes usar `Union` de `typing`.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Feb 13 13:41:41 GMT 2026 - 2.1K bytes - Click Count (0) -
docs/en/docs/advanced/advanced-python-types.md
# Advanced Python Types { #advanced-python-types } Here are some additional ideas that might be useful when working with Python types. ## Using `Union` or `Optional` { #using-union-or-optional } If your code for some reason can't use `|`, for example if it's not in a type annotation but in something like `response_model=`, instead of using the vertical bar (`|`) you can use `Union` from `typing`.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Wed Feb 11 18:32:12 GMT 2026 - 2K bytes - Click Count (0) -
docs/ko/docs/tutorial/extra-models.md
따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` 그 다음, 다음과 같이 호출합니다: ```Python user_dict = user_in.model_dump() ``` 이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다). 그리고 다음과 같이 호출하면: ```Python print(user_dict) ``` Python의 `dict`가 다음과 같이 출력됩니다: ```Python {
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 14:06:26 GMT 2026 - 8K bytes - Click Count (0) -
docs/zh-hant/docs/advanced/advanced-python-types.md
# 進階 Python 型別 { #advanced-python-types } 以下是一些在使用 Python 型別時可能有用的額外想法。 ## 使用 `Union` 或 `Optional` { #using-union-or-optional } 如果你的程式碼因某些原因無法使用 `|`,例如不是在型別註記中,而是在像 `response_model=` 之類的參數位置,那麼你可以用 `typing` 中的 `Union` 來取代豎線(`|`)。 例如,你可以宣告某個值可以是 `str` 或 `None`: ```python from typing import Union def say_hi(name: Union[str, None]): print(f"Hi {name}!") ``` 在 `typing` 中也有用 `Optional` 宣告某個值可以是 `None` 的速記法。Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Sat Feb 14 08:15:26 GMT 2026 - 1.9K bytes - Click Count (0) -
docs/tr/docs/advanced/advanced-python-types.md
# Gelişmiş Python Tipleri { #advanced-python-types } Python tipleriyle çalışırken işinize yarayabilecek bazı ek fikirler. ## `Union` veya `Optional` Kullanımı { #using-union-or-optional } Kodunuz herhangi bir nedenle `|` kullanamıyorsa — örneğin bir tip açıklamasında (type annotation) değil de `response_model=` gibi bir yerdeyse — dikey çizgi (`|`) yerine `typing` içindeki `Union`'ı kullanabilirsiniz.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Feb 13 12:41:38 GMT 2026 - 2.1K bytes - Click Count (0)