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docs/en/docs/async.md
So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes. Then the computer / program 🤖 will come back every time it has a chance because it's waiting again, or whenever it 🤖 finished all the work it had at that point. And it 🤖 will see if any of the tasks it was waiting for have already finished, doing whatever it had to do.
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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/fr/docs/async.md
Donc, pendant ce temps, l'ordinateur pourra effectuer d'autres tâches, pendant que "fichier-lent" 📝 se termine. Ensuite l'ordinateur / le programme 🤖 reviendra à chaque fois qu'il en a la chance que ce soit parce qu'il attend à nouveau, ou car il 🤖 a fini tout le travail qu'il avait à faire. Il 🤖 regardera donc si les tâches qu'il attend ont terminé d'être effectuées.
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docs/es/docs/async.md
Pagas 💸. <img src="https://fastapi.tiangolo.com/img/async/parallel-burgers/parallel-burgers-02.png" alt="illustration"> El cajero va a la cocina 👨🍳. Esperas, de pie frente al mostrador 🕙, para que nadie más recoja tus hamburguesas 🍔, ya que no hay números para los turnos. <img src="https://fastapi.tiangolo.com/img/async/parallel-burgers/parallel-burgers-03.png" alt="illustration">
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docs/de/docs/async.md
Dennoch besteht in beiden Fällen eine gute Chance, dass **FastAPI** [immer noch schneller](index.md#performanz){.internal-link target=_blank} als Ihr bisheriges Framework (oder zumindest damit vergleichbar) ist. ### Abhängigkeiten
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