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docs/pt/docs/tutorial/index.md
Usá-lo em seu editor é o que realmente te mostra os benefícios do FastAPI, ver quão pouco código você tem que escrever, todas as conferências de tipo, auto completações etc. --- ## Instale o FastAPI O primeiro passo é instalar o FastAPI. Para o tutorial, você deve querer instalá-lo com todas as dependências e recursos opicionais. <div class="termy"> ```console $ pip install "fastapi[all]"
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docs/ru/docs/deployment/docker.md
# (1) FROM python:3.9 as requirements-stage # (2) WORKDIR /tmp # (3) RUN pip install poetry # (4) COPY ./pyproject.toml ./poetry.lock* /tmp/ # (5) RUN poetry export -f requirements.txt --output requirements.txt --without-hashes # (6) FROM python:3.9 # (7) WORKDIR /code # (8) COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt
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docs/en/docs/deployment/manually.md
```Python from main import app ``` !!! warning Uvicorn and others support a `--reload` option that is useful during development. The `--reload` option consumes much more resources, is more unstable, etc. It helps a lot during **development**, but you **shouldn't** use it in **production**. ## Hypercorn with Trio
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docs/fr/docs/project-generation.md
* **Vuetify** pour de magnifiques composants *material design*. * **TypeScript**. * Serveur Docker basé sur **Nginx** (configuré pour être facilement manipulé avec Vue-router). * Utilisation de *Docker multi-stage building*, pour ne pas avoir besoin de sauvegarder ou *commit* du code compilé. * Tests frontend exécutés à la compilation (pouvant être désactivés).
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docs/de/docs/advanced/async-tests.md
## Andere asynchrone Funktionsaufrufe
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docs/de/docs/tutorial/response-model.md
!!! info Sie können auch: * `response_model_exclude_defaults=True` * `response_model_exclude_none=True`
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docs/ko/docs/deployment/docker.md
# (1) FROM python:3.9 as requirements-stage # (2) WORKDIR /tmp # (3) RUN pip install poetry # (4) COPY ./pyproject.toml ./poetry.lock* /tmp/ # (5) RUN poetry export -f requirements.txt --output requirements.txt --without-hashes # (6) FROM python:3.9 # (7) WORKDIR /code # (8) COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt
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docs/hu/docs/index.md
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére. * <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - Extra típusok Pydantic-hoz. Starlette által használt:
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docs/en/docs/tutorial/security/oauth2-jwt.md
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docs/en/docs/deployment/concepts.md
In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**. There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.
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