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docs/fr/docs/history-design-future.md
Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives. L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs. Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} : <blockquote markdown="1">
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.github/workflows/latest-changes.yml
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.github/workflows/test.yml
with: name: coverage-html path: htmlcov # https://github.com/marketplace/actions/alls-green#why check: # This job does nothing and is only used for the branch protection if: always() needs: - coverage-combine runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }}
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docs/it/docs/index.md
</p> <p align="center"> <a href="https://travis-ci.com/tiangolo/fastapi" target="_blank"> <img src="https://travis-ci.com/tiangolo/fastapi.svg?branch=master" alt="Build Status"> </a> <a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank"> <img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi" alt="Coverage"> </a>
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docs/ru/docs/index.md
</p> <p align="center"> <a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank"> <img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test"> </a> <a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank">
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docs/pt/docs/async.md
* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.
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docs/pt/docs/advanced/events.md
Mas `open()` não usa `async` e `await`. Então, nós declaramos uma função de manipulação de evento com o padrão `def` ao invés de `async def`. ### `startup` e `shutdown` juntos Há uma grande chance que a lógica para sua *inicialização* e *encerramento* esteja conectada, você pode querer iniciar alguma coisa e então finalizá-la, adquirir um recurso e então liberá-lo, etc.
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.github/actions/people/app/main.py
subprocess.run( ["git", "config", "user.email", "******@****.***"], check=True ) branch_name = "fastapi-people" logging.info(f"Creating a new branch {branch_name}") subprocess.run(["git", "checkout", "-b", branch_name], check=True) logging.info("Adding updated file") subprocess.run( ["git", "add", str(people_path), str(github_sponsors_path)], check=True
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docs/fr/docs/external-links.md
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docs/fr/docs/benchmarks.md
* De ce fait, en utilisant FastAPI on minimise le temps de développement, les bugs, le nombre de lignes de code, et on obtient les mêmes performances (si ce n'est de meilleurs performances) que...
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