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docs/zh/docs/tutorial/response-model.md
* `@app.put()` * `@app.delete()` * 等等。 //// tab | Python 3.10+ ```Python hl_lines="17 22 24-27" {!> ../../docs_src/response_model/tutorial001_py310.py!} ``` //// //// tab | Python 3.9+ ```Python hl_lines="17 22 24-27" {!> ../../docs_src/response_model/tutorial001_py39.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="17 22 24-27"
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7.8K bytes - Viewed (0) -
docs/ko/docs/tutorial/dependencies/classes-as-dependencies.md
따라서, 만약 당신이 `something`(함수가 아닐 수도 있음) 객체를 가지고 있고, ```Python something() ``` 또는 ```Python something(some_argument, some_keyword_argument="foo") ``` 상기와 같은 방식으로 "호출(실행)" 할 수 있다면 "호출 가능"이 됩니다. ## 의존성으로서의 클래스 파이썬 클래스의 인스턴스를 생성하기 위해 사용하는 것과 동일한 문법을 사용한다는 걸 알 수 있습니다. 예를 들어: ```Python class Cat: def __init__(self, name: str): self.name = name
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7.9K bytes - Viewed (0) -
docs/uk/docs/alternatives.md
Ось чому, як сказано на офіційному сайті: > Requests є одним із найбільш завантажуваних пакетів Python усіх часів Використовувати його дуже просто. Наприклад, щоб виконати запит `GET`, ви повинні написати: ```Python response = requests.get("http://example.com/some/url") ``` Відповідна операція *роуту* API FastAPI може виглядати так: ```Python hl_lines="1" @app.get("/some/url") def read_url(): return {"message": "Hello World"}
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 20 19:20:23 UTC 2024 - 38.1K bytes - Viewed (0) -
docs/de/docs/index.md
Das machen Sie mit modernen Standard-Python-Typen. Sie müssen keine neue Syntax, Methoden oder Klassen einer bestimmten Bibliothek usw. lernen. Nur Standard-**Python+**. Zum Beispiel für ein `int`: ```Python item_id: int ``` oder für ein komplexeres `Item`-Modell: ```Python item: Item ``` ... und mit dieser einen Deklaration erhalten Sie:
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docs/en/docs/advanced/testing-dependencies.md
//// tab | Python 3.10+ ```Python hl_lines="26-27 30" {!> ../../docs_src/dependency_testing/tutorial001_an_py310.py!} ``` //// //// tab | Python 3.9+ ```Python hl_lines="28-29 32" {!> ../../docs_src/dependency_testing/tutorial001_an_py39.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="29-30 33"
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docs/ru/docs/async.md
## `async` и `await` В современных версиях Python разработка асинхронного кода реализована очень интуитивно. Он выглядит как обычный "последовательный" код и самостоятельно выполняет "ожидание", когда это необходимо. Если некая операция требует ожидания перед тем, как вернуть результат, и поддерживает современные возможности Python, код можно написать следующим образом: ```Python burgers = await get_burgers(2) ```
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docs/de/docs/advanced/additional-status-codes.md
//// tab | Python 3.10+ ```Python hl_lines="4 25" {!> ../../docs_src/additional_status_codes/tutorial001_an_py310.py!} ``` //// //// tab | Python 3.9+ ```Python hl_lines="4 25" {!> ../../docs_src/additional_status_codes/tutorial001_an_py39.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="4 26"
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docs/pt/docs/advanced/additional-status-codes.md
//// tab | Python 3.10+ ```Python hl_lines="4 25" {!> ../../docs_src/additional_status_codes/tutorial001_an_py310.py!} ``` //// //// tab | Python 3.9+ ```Python hl_lines="4 25" {!> ../../docs_src/additional_status_codes/tutorial001_an_py39.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="4 26"
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docs/it/docs/index.md
Questo con le annotazioni per i tipi standard di Python. Non c'è bisogno di imparare una nuova sintassi, metodi o classi specifici a una libreria, ecc. È normalissimo **Python 3.6+**. Per esempio, per un `int`: ```Python item_id: int ``` o per un modello `Item` più complesso: ```Python item: Item ``` ...e con quella singola dichiarazione hai in cambio:
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docs/en/docs/history-design-future.md
I tested several ideas in the most popular Python editors: PyCharm, VS Code, Jedi based editors. By the last <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>, that covers about 80% of the users.
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