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docs/pt/docs/async.md
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docs/de/docs/tutorial/dependencies/index.md
Und Abhängigkeiten können auf sehr einfache und intuitive Weise erstellt werden, sodass Sie einfach die benötigten Python-Packages importieren und sie in wenigen Codezeilen, *im wahrsten Sinne des Wortes*, mit Ihren API-Funktionen integrieren. Beispiele hierfür finden Sie in den nächsten Kapiteln zu relationalen und NoSQL-Datenbanken, Sicherheit usw. ## **FastAPI**-Kompatibilität
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docs/en/docs/deployment/concepts.md
### Multiple Processes - Workers If you have more clients than what a single process can handle (for example if the virtual machine is not too big) and you have **multiple cores** in the server's CPU, then you could have **multiple processes** running with the same application at the same time, and distribute all the requests among them.
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docs/fr/docs/async.md
### Autres formes de code asynchrone L'utilisation d'`async` et `await` est relativement nouvelle dans ce langage. Mais cela rend la programmation asynchrone bien plus simple.
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docs/hu/docs/index.md
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docs/es/docs/index.md
**Nota**: Si no lo sabes, revisa la sección _"¿Con prisa?"_ sobre <a href="https://fastapi.tiangolo.com/es/async/#con-prisa" target="_blank">`async` y `await` en la documentación</a>. </details> ### Córrelo Corre el servidor con: <div class="termy"> ```console $ uvicorn main:app --reload INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) INFO: Started reloader process [28720]
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docs/fr/docs/index.md
* **Robuste** : Obtenez un code prêt pour la production. Avec une documentation interactive automatique.
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docs/es/docs/tutorial/first-steps.md
# Primeros pasos Un archivo muy simple de FastAPI podría verse así: ```Python {!../../../docs_src/first_steps/tutorial001.py!} ``` Copia eso a un archivo `main.py`. Corre el servidor en vivo: <div class="termy"> ```console $ uvicorn main:app --reload <span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
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docs/en/docs/deployment/docker.md
process** (e.g. a Uvicorn process running your FastAPI application). They would all be **identical containers**, running the same thing, but each with its own process, memory, etc. That way you would take advantage of **parallelization** in **different cores** of the CPU, or even in **different machines**. And the distributed container system with the **load balancer** would **distribute the requests** to each one of the containers with your app **in turns**. So, each request could be handled...
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docs/fr/docs/alternatives.md
!!! check "A inspiré **FastAPI** à" Adopter et utiliser une norme ouverte pour les spécifications des API, au lieu d'un schéma personnalisé. Intégrer des outils d'interface utilisateur basés sur des normes : * <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a> * <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>
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