Eso, más el simple hecho de que Python es el lenguaje principal para **Data Science**, Machine Learning y especialmente Deep Learning, hacen de FastAPI una muy buena opción para APIs web de Data Science / Machine Learning y aplicaciones (entre muchas otras).

concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  build:
    name: Go ${{ matrix.go-version }} on ${{ matrix.os }} - healing
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        go-version: [1.24.x]
        os: [ubuntu-latest]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:

* cross origin: cross origin (do not translate to "origem cruzada")
* Cross-Origin Resource Sharing: Cross-Origin Resource Sharing (do not translate to "Compartilhamento de Recursos de Origem Cruzada")
* Deep Learning: Deep Learning (do not translate to "Aprendizado Profundo")
* dependable: dependable
* dependencies: dependências
* deprecated: descontinuado
* docs: documentação
* FastAPI app: aplicação FastAPI

}

func healingLogIf(ctx context.Context, err error, errKind ...any) {
	logger.LogIf(ctx, "healing", err, errKind...)
}

func healingLogEvent(ctx context.Context, msg string, args ...any) {
	logger.Event(ctx, "healing", msg, args...)
}

func healingLogOnceIf(ctx context.Context, err error, errKind ...any) {
	logger.LogIf(ctx, "healing", err, errKind...)
}

func batchLogIf(ctx context.Context, err error, errKind ...any) {

2) For headings that are instructions written in imperative in English (e.g. “Go check …”), keep them in imperative in French, using the formal grammar (e.g. «Allez voir …»).

3) Keep heading punctuation as in the source. In particular, keep occurrences of literal « - » (space-hyphen-space) as « - » (the existing French docs use a hyphen here).

### French instructions about technical terms

## TensorFlow models are programs

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted

			b.Fatal(err)
		}
	}
}

func BenchmarkDecodeDiskInfoMsgp(b *testing.B) {
	v := DiskInfo{
		Total:     1000,
		Free:      1000,
		Used:      1000,
		FSType:    "xfs",
		RootDisk:  true,
		Healing:   true,
		Endpoint:  "http://localhost:9001/tmp/drive1",
		MountPath: "/tmp/drive1",
		ID:        "uuid",
		Error:     "",
	}
	var buf bytes.Buffer
	msgp.Encode(&buf, &v)

    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_role("button", name="GET /items/ Read Items").click()
    page.get_by_role("button", name="Try it out").click()
    page.get_by_role("heading", name="Servers").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/query-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()

# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",
        "//learning/brain/keras/...",
        "//learning/brain/mlir/...",
        "//learning/brain/tfrt/...",
        "//learning/lib/ami/simple_ml/...",
        "//learning/pathways/...",
        "//learning/serving/contrib/tfrt/mlir/canonical_ops/...",

2) Address the reader naturally (commonly using “你/你的”).

### Headings

1) Follow existing Simplified Chinese heading style (short and descriptive).
2) Do not add trailing punctuation to headings.
3) If a heading contains only the name of a FastAPI feature, do not translate it.

### Quotes and punctuation