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docs/en/docs/tutorial/response-model.md
``` FastAPI will use this return type to: * **Validate** the returned data. * If the data is invalid (e.g. you are missing a field), it means that *your* app code is broken, not returning what it should, and it will return a server error instead of returning incorrect data. This way you and your clients can be certain that they will receive the data and the data shape expected.
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docs/en/docs/advanced/generate-clients.md
You will have inline errors for the data that you send: <img src="/img/tutorial/generate-clients/image04.png"> The response object will also have autocompletion: <img src="/img/tutorial/generate-clients/image05.png"> ## FastAPI App with Tags In many cases your FastAPI app will be bigger, and you will probably use tags to separate different groups of *path operations*.
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docs/en/docs/contributing.md
<div class="termy"> ```console $ python -m venv env ``` </div> That will create a directory `./env/` with the Python binaries, and then you will be able to install packages for that local environment. ### Activate the environment Activate the new environment with: === "Linux, macOS" <div class="termy">
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docs/en/docs/advanced/behind-a-proxy.md
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docs/en/docs/tutorial/first-steps.md
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docs/em/docs/contributing.md
๐ฅ ๐ โ ๐ โณ, ๐ ๐ช โ ๐ ๏ธ โฎ๏ธ: <div class="termy"> ```console $ typer --install-completion zsh completion installed in /home/user/.bashrc. Completion will take effect once you restart the terminal. ``` </div> ### ๐ฑ & ๐ฉบ ๐ ๐ฐ ๐ฅ ๐ ๐ ๐ผ โฎ๏ธ, โ : <div class="termy"> ```console $ uvicorn tutorial001:app --reload
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docs/ja/docs/deployment/concepts.md
* OSไธใง**ๅฎ่ก**ใใฆใใ็นๅฎใฎใใญใฐใฉใ * ใใใฏใใกใคใซใใณใผใใๆใใฎใงใฏใชใใOSใซใใฃใฆ**ๅฎ่ก**ใใใ็ฎก็ใใใฆใใใใฎใๆใใพใใ * ใฉใใชใใญใฐใฉใ ใใณใผใใใใใใ**ๅฎ่กใใใฆใใใจใใซใ ใๆฉ่ฝ**ใใพใใใคใพใใ**ใใญใปในใจใใฆๅฎ่กใใใฆใใใจใใ ใ**ใงใใ * ใใญใปในใฏใใฆใผใถใผใซใใใใฏOSใซใใฃใฆใ **็ตไบ**๏ผใใใใฏ "kill"๏ผใใใใใจใใงใใพใใใใฎๆ็นใงใใใญใปในใฏๅฎ่ก/ๅฎ่กใใใใใจใๅๆญขใใใใไปฅ้ใฏ**ไฝใใงใใชใใชใใพใ**ใ * ใณใณใใฅใผใฟใงๅฎ่กใใใฆใใๅใขใใชใฑใผใทใงใณใฏใๅฎ่กไธญใฎใใญใฐใฉใ ใๅใฆใฃใณใใฆใชใฉใใใฎ่ๅพใซใใใคใใฎใใญใปในใๆใฃใฆใใพใใใใใฆ้ๅธธใใณใณใใฅใผใฟใ่ตทๅใใฆใใ้ใ**ๅคใใฎใใญใปในใ**ๅๆใซๅฎ่กใใใฆใใพใใ * **ๅใใใญใฐใฉใ **ใฎ**่คๆฐใฎใใญใปใน**ใๅๆใซๅฎ่กใใใฆใใใใจใใใใพใใ
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docs/en/docs/deployment/concepts.md
### Server Memory For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.
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docs/en/docs/tutorial/bigger-applications.md
So, the prefix in this case is `/items`. We can also add a list of `tags` and extra `responses` that will be applied to all the *path operations* included in this router. And we can add a list of `dependencies` that will be added to all the *path operations* in the router and will be executed/solved for each request made to them. !!! tip
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docs/en/docs/python-types.md
Later you will see how **powerful** it can be. !!! tip The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. โจ And also that your code will be very compatible with many other Python tools and libraries. ๐
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