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docs/em/docs/tutorial/sql-databases.md
👀 👈 `User`, Pydantic *🏷* 👈 🔜 ⚙️ 🕐❔ 👂 👩💻 (🛬 ⚫️ ⚪️➡️ 🛠️) 🚫 🔌 `password`. ### ⚙️ Pydantic `orm_mode` 🔜, Pydantic *🏷* 👂, `Item` & `User`, 🚮 🔗 `Config` 🎓. 👉 <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">`Config`</a> 🎓 ⚙️ 🚚 📳 Pydantic. `Config` 🎓, ⚒ 🔢 `orm_mode = True`. === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="15 19-20 31 36-37"
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docs/en/docs/tutorial/extra-data-types.md
* A Python `datetime.timedelta`. * In requests and responses will be represented as a `float` of total seconds. * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">see the docs for more info</a>. * `frozenset`: * In requests and responses, treated the same as a `set`:
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docs/de/docs/advanced/settings.md
## Pydantic `Settings` Glücklicherweise bietet Pydantic ein großartiges Werkzeug zur Verarbeitung dieser Einstellungen, die von Umgebungsvariablen stammen, mit <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings Management</a>. ### `pydantic-settings` installieren Installieren Sie zunächst das Package `pydantic-settings`:
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docs/en/docs/advanced/websockets.md
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docs/az/docs/index.md
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test"> </a> <a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/tiangolo/fastapi" target="_blank"> <img src="https://coverage-badge.samuelcolvin.workers.dev/tiangolo/fastapi.svg" alt="Əhatə"> </a> <a href="https://pypi.org/project/fastapi" target="_blank">
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docs/es/docs/index.md
## Requisitos FastAPI está sobre los hombros de gigantes: * <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> para las partes web. * <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> para las partes de datos. ## Instalación <div class="termy"> ```console $ pip install fastapi ---> 100% ``` </div>
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docs/en/mkdocs.yml
- icon: fontawesome/brands/twitter link: https://twitter.com/fastapi - icon: fontawesome/brands/linkedin link: https://www.linkedin.com/in/tiangolo - icon: fontawesome/brands/dev link: https://dev.to/tiangolo - icon: fontawesome/brands/medium link: https://medium.com/@tiangolo - icon: fontawesome/solid/globe link: https://tiangolo.com alternate: - link: /
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docs/de/docs/tutorial/extra-data-types.md
* Ein Python-`datetime.timedelta`. * Wird in Requests und Responses als `float` der Gesamtsekunden dargestellt. * Pydantic ermöglicht auch die Darstellung als „ISO 8601 Zeitdifferenz-Kodierung“, <a href="https://docs.pydantic.dev/1.10/usage/exporting_models/#json_encoders" class="external-link" target="_blank">Weitere Informationen finden Sie in der Dokumentation</a>. * `frozenset`: * Wird in Requests und Responses wie ein `set` behandelt:
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docs/zh/docs/tutorial/extra-data-types.md
* 在请求和响应中将表示为 ISO 8601 格式的 `str` ,比如: `14:23:55.003`. * `datetime.timedelta`: * 一个 Python `datetime.timedelta`. * 在请求和响应中将表示为 `float` 代表总秒数。 * Pydantic 也允许将其表示为 "ISO 8601 时间差异编码", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">查看文档了解更多信息</a>。 * `frozenset`: * 在请求和响应中,作为 `set` 对待: * 在请求中,列表将被读取,消除重复,并将其转换为一个 `set`。 * 在响应中 `set` 将被转换为 `list` 。
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docs_src/custom_response/tutorial006c.py
from fastapi.responses import RedirectResponse app = FastAPI() @app.get("/pydantic", response_class=RedirectResponse, status_code=302) async def redirect_pydantic():
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