### `UJSONResponse`

An alternative JSON response using <a href="https://github.com/ultrajson/ultrajson" class="external-link" target="_blank">`ujson`</a>.

!!! warning
    `ujson` is less careful than Python's built-in implementation in how it handles some edge-cases.

```Python hl_lines="2  7"
{!../../../docs_src/custom_response/tutorial001.py!}
```

!!! tip

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning

With **FastAPI** you can take the advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

There is also an **Advanced User Guide** that you can read later after this **Tutorial - User guide**.

The **Advanced User Guide**, builds on this, uses the same concepts, and teaches you some extra features.

But you should first read the **Tutorial - User Guide** (what you are reading right now).

    img: https://fastapi.tiangolo.com/img/sponsors/cryptapi.svg
  - url: https://platform.sh/try-it-now/?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023
    title: "Build, run and scale your apps on a modern, reliable, and secure PaaS."
    img: https://fastapi.tiangolo.com/img/sponsors/platform-sh.png
  - url: https://www.porter.run
    title: Deploy FastAPI on AWS with a few clicks

---

"_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._"

    types:
      - labeled
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  notify-translations:
    runs-on: ubuntu-latest
    steps:

---

"_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._"

```Dockerfile
COPY ./app /code/app
```

### Build the Docker Image

Now that all the files are in place, let's build the container image.

* Go to the project directory (in where your `Dockerfile` is, containing your `app` directory).
* Build your FastAPI image:

<div class="termy">

```console
$ docker build -t myimage .

---> 100%
```

</div>

!!! tip

---

<div style="text-align: left; direction: ltr;">"Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted <strong>Hug</strong> to be - it's really inspiring to see someone build that."</div>

!!! warning
    このベースイメージや類似のイメージは**必要ない**可能性が高いので、[上記の: FastAPI用のDockerイメージをビルドする（Build a Docker Image for FastAPI）](#build-a-docker-image-for-fastapi)のようにゼロからイメージをビルドする方が良いでしょう。

このイメージには、利用可能なCPUコアに基づいて**ワーカー・プロセスの数**を設定する**オートチューニング**メカニズムが含まれています。

これは**賢明なデフォルト**を備えていますが、**環境変数**や設定ファイルを使ってすべての設定を変更したり更新したりすることができます。