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docs/en/docs/tutorial/response-model.md
That's why in this example we have to declare it in the `response_model` parameter. ...but continue reading below to see how to overcome that. ## Return Type and Data Filtering Let's continue from the previous example. We wanted to **annotate the function with one type** but return something that includes **more data**.
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docs/en/docs/alternatives.md
### <a href="https://webargs.readthedocs.io/en/latest/" class="external-link" target="_blank">Webargs</a> Another big feature required by APIs is <abbr title="reading and converting to Python data">parsing</abbr> data from incoming requests. Webargs is a tool that was made to provide that on top of several frameworks, including Flask.
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docs/em/docs/tutorial/dependencies/dependencies-with-yield.md
## ๐ ๐จโ๐ผ ### โซ๏ธโ "๐ ๐จโ๐ผ" "๐ ๐จโ๐ผ" ๐ ๐ ๐ ๐ ๐ ๐ ๐ช โ๏ธ `with` ๐. ๐ผ, <a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">๐ ๐ช โ๏ธ `with` โ ๐</a>: ```Python with open("./somefile.txt") as f: contents = f.read() print(contents) ```
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docs/en/docs/deployment/concepts.md
## 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/release-notes.md
* PR [#593](https://github.com/tiangolo/fastapi/pull/593). * Improve handling of custom classes for `Request`s and `APIRoute`s. * This helps to more easily solve use cases like: * Reading a body before and/or after a request (equivalent to a middleware). * Run middleware-like code only for a subset of *path operations*.
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docs/ja/docs/tutorial/dependencies/dependencies-with-yield.md
ใใใไพๅคใใณใใฉใงๅฆ็ใใใชใไพๅคใ็บ็ใใใๅ ดๅใฏใไพๅญ้ขไฟใฎ็ตไบใณใผใใงๅฆ็ใใใพใใ ## ใณใณใใญในใใใใผใธใฃ ### ใใณใณใใญในใใใใผใธใฃใใจใฏ ใใณใณใใญในใใใใผใธใฃใใจใฏใ`with`ๆใฎไธญใงไฝฟ็จใงใใPythonใชใใธใงใฏใใฎใใจใงใใ ไพใใฐใ<a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">ใใกใคใซใ่ชญใฟ่พผใใซใฏ`with`ใไฝฟ็จใใใใจใใงใใพใ</a>: ```Python with open("./somefile.txt") as f: contents = f.read() print(contents) ```
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README.md
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging. * **Easy**: Designed to be easy to use and learn. Less time reading docs. * **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs. * **Robust**: Get production-ready code. With automatic interactive documentation.
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docs/en/docs/async.md
gain (about 100 nanoseconds), please note that in **FastAPI** the effect would be quite opposite. In these cases, it's better to use `async def` unless your *path operation functions* use code that performs blocking <abbr title="Input/Output: disk reading or writing, network communications.">I/O</abbr>. Still, in both situations, chances are that **FastAPI** will [still be faster](index.md#performance){.internal-link target=_blank} than (or at least comparable to) your previous framework....
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docs/en/docs/tutorial/sql-databases.md
### Create Pydantic *models* / schemas for reading / returning Now create Pydantic *models* (schemas) that will be used when reading data, when returning it from the API. For example, before creating an item, we don't know what will be the ID assigned to it, but when reading it (when returning it from the API) we will already know its ID.
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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() ```
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