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docs/en/docs/tutorial/body-updates.md
{!> ../../../docs_src/body_updates/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="35" {!> ../../../docs_src/body_updates/tutorial002.py!} ``` ### Partial updates recap In summary, to apply partial updates you would: * (Optionally) use `PATCH` instead of `PUT`. * Retrieve the stored data. * Put that data in a Pydantic model.
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docs/en/docs/deployment/server-workers.md
## Recap You can use **Gunicorn** (or also Uvicorn) as a process manager with Uvicorn workers to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.
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docs/en/docs/tutorial/extra-models.md
{!> ../../../docs_src/extra_models/tutorial005_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="1 8" {!> ../../../docs_src/extra_models/tutorial005.py!} ``` ## Recap Use multiple Pydantic models and inherit freely for each case.
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docs/en/docs/tutorial/security/simple-oauth2.md
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docs/en/docs/tutorial/security/oauth2-jwt.md
You can learn how to use them and how they are integrated into **FastAPI** later in the **Advanced User Guide**. ## Recap With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT. In almost any framework handling the security becomes a rather complex subject quite quickly.
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docs/en/docs/tutorial/response-model.md
{!> ../../../docs_src/response_model/tutorial006_py310.py!} ``` === "Python 3.8+" ```Python hl_lines="31 37" {!> ../../../docs_src/response_model/tutorial006.py!} ``` ## Recap Use the *path operation decorator's* parameter `response_model` to define response models and especially to ensure private data is filtered out.
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docs/en/docs/advanced/settings.md
## Recap You can use Pydantic Settings to handle the settings or configurations for your application, with all the power of Pydantic models. * By using a dependency you can simplify testing. * You can use `.env` files with it.
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docs/en/docs/deployment/concepts.md
You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc. ## Recap You have been reading here some of the main concepts that you would probably need to keep in mind when deciding how to deploy your application: * Security - HTTPS * Running on startup * Restarts
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docs/en/docs/index.md
* The alternative documentation will also reflect the new query parameter and body: ![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.
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docs/fa/docs/index.md
* **<abbr title="Short">کوچک</abbr>**: کاهش تکرار در کد. چندین قابلیت برای هر پارامتر (منظور پارامترهای ورودی تابع هندلر میباشد، به بخش <a href="https://fastapi.tiangolo.com/#recap">خلاصه</a> در همین صفحه مراجعه شود). باگ کمتر. * **<abbr title="Robust">استوار</abbr>**: ایجاد کدی آماده برای استفاده در محیط پروداکشن و تولید خودکار <abbr title="Interactive documentation">مستندات تعاملی</abbr>
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