"license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }
    ],

By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.

In the next chapters, I'll give you more **concrete recipes** to deploy FastAPI applications.

          <execution>
            <id>create-test-jar</id>
            <goals><goal>test-jar</goal></goals>
          </execution>
        </executions>
      </plugin>
      <plugin>
        <artifactId>maven-deploy-plugin</artifactId>
        <version>2.8.2</version>
        <configuration>
          <skip>true</skip>
        </configuration>
      </plugin>
      <plugin>
        <groupId>org.codehaus.mojo</groupId>

     * transformation has occurred the original artifact is returned.
     *
     * @param artifact         Artifact to be transformed.
     * @param remoteRepository the repository to deploy to
     * @param localRepository  the local repository
     */
    void transformForDeployment(
            Artifact artifact, ArtifactRepository remoteRepository, ArtifactRepository localRepository)

     * transformation has occurred the original artifact is returned.
     *
     * @param artifact         Artifact to be transformed.
     * @param remoteRepository the repository to deploy to
     * @param localRepository  the local repository the metadata is stored in
     */
    void transformForDeployment(
            Artifact artifact, ArtifactRepository remoteRepository, ArtifactRepository localRepository)

            - mkdocs.yml
            - mkdocs.insiders.yml
            - mkdocs.maybe-insiders.yml
            - mkdocs.no-insiders.yml
            - .github/workflows/build-docs.yml
            - .github/workflows/deploy-docs.yml
  langs:
    needs:
      - changes
    runs-on: ubuntu-latest
    outputs:
      langs: ${{ steps.show-langs.outputs.langs }}
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python

/// note | "Catatan"

Kamu juga dapat meng-installnya bagian demi bagian.

Hal ini mungkin yang akan kamu lakukan ketika kamu hendak menyebarkan (men-deploy) aplikasimu ke tahap produksi:

```
pip install fastapi
```

Juga install `uvicorn` untuk menjalankan server"

```
pip install "uvicorn[standard]"
```

    /**
     * Shortcut for {@code getService(ArtifactDeployer.class).deploy(...)}.
     *
     * @param repository the repository where to deploy artifacts
     * @param artifacts the artifacts to deploy
     * @throws org.apache.maven.api.services.ArtifactDeployerException if the artifacts deployment failed
     *
     * @see org.apache.maven.api.services.ArtifactDeployer#deploy(Session, RemoteRepository, Collection)
     */

            sb.append(type);
            sb.append(" -Dfile=/path/to/file");
            sb.append(LS);

            // If people want to deploy it
            sb.append(LS);
            sb.append(indentation);
            sb.append("Alternatively, if you host your own repository you can deploy the file there: ");
            sb.append(LS);
            sb.append(indentation);
            sb.append("    mvn deploy:deploy-file -DgroupId=");

    <id>repo</id>
    <name>Repository Name</name>
    <url>scp://host/path/to/repo</url>
  </snapshotRepository>
</distributionManagement>
    ]]></configuration>
    <description> This is the ArtifactRepository used to deploy artifacts built by this
      Maven.
    </description>
  </expression>
  <expression>
    <syntax>project.artifact</syntax>
    <configuration>
      <![CDATA[
<groupId>project.group</groupId>