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docs/pl/docs/index.md
FastAPI to nowoczesny, wydajny framework webowy do budowania API z użyciem Pythona bazujący na standardowym typowaniu Pythona. Kluczowe cechy: * **Wydajność**: FastAPI jest bardzo wydajny, na równi z **NodeJS** oraz **Go** (dzięki Starlette i Pydantic). [Jeden z najszybszych dostępnych frameworków Pythonowych](#wydajnosc). * **Szybkość kodowania**: Przyśpiesza szybkość pisania nowych funkcjonalności o około 200% do 300%. *
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docs/en/docs/deployment/concepts.md
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docs/en/docs/advanced/behind-a-proxy.md
## Mounting a sub-application If you need to mount a sub-application (as described in [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}) while also using a proxy with `root_path`, you can do it normally, as you would expect.
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docs/pt/docs/index.md
* Swagger UI. * ReDoc. --- Voltando ao código do exemplo anterior, **FastAPI** irá: * Validar que existe um `item_id` na rota para requisições `GET` e `PUT`. * Validar que `item_id` é do tipo `int` para requisições `GET` e `PUT`. * Se não é validado, o cliente verá um útil, claro erro.
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docs/en/docs/advanced/settings.md
### Creating the `Settings` only once with `lru_cache` Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then re-use the same settings object, instead of reading it for each request. But every time we do: ```Python Settings() ``` a new `Settings` object would be created, and at creation it would read the `.env` file again.
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docs/en/docs/deployment/docker.md
## Build a Docker Image for FastAPI Okay, let's build something now! 🚀 I'll show you how to build a **Docker image** for FastAPI **from scratch**, based on the **official Python** image. This is what you would want to do in **most cases**, for example: * Using **Kubernetes** or similar tools * When running on a **Raspberry Pi** * Using a cloud service that would run a container image for you, etc. ### Package Requirements
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README.md
![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png) ### Recap In summary, you declare **once** the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. Just standard **Python**. For example, for an `int`: ```Python
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docs/en/docs/index.md
![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png) ### Recap In summary, you declare **once** the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. Just standard **Python**. For example, for an `int`: ```Python
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