For example, there's an official <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>.

And there are many other images for different things like databases, for example for:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>

   * Returns the maximal range {@linkplain #encloses enclosed} by both this range and {@code
   * connectedRange}, if such a range exists.
   *
   * <p>For example, the intersection of {@code [1..5]} and {@code (3..7)} is {@code (3..5]}. The
   * resulting range may be empty; for example, {@code [1..5)} intersected with {@code [5..7)}
   * yields the empty range {@code [5..5)}.
   *

    open fun encode(codePoint: Int): String {
      throw UnsupportedOperationException()
    }
  }

  enum class Component {
    USER {
      override fun urlString(value: String): String = "http://$value@example.com/"

      override fun encodedValue(url: HttpUrl): String = url.encodedUsername

      override operator fun set(
        builder: HttpUrl.Builder,
        value: String,
      ) {

### Multiple Applications

In the same server (or servers), there could be **multiple applications**, for example, other API programs or a database.

Only one process can be handling the specific IP and port (the TLS Termination Proxy in our example) but the other applications/processes can be running on the server(s) too, as long as they don't try to use the same **combination of public IP and port**.

    Read more about it in the
    [FastAPI docs for Simple OAuth2 with Password and Bearer](https://fastapi.tiangolo.com/tutorial/security/simple-oauth2/).

    ## Example

    ```python
    from typing import Annotated

    from fastapi import Depends, FastAPI
    from fastapi.security import OAuth2PasswordRequestForm

    app = FastAPI()


    @app.post("/login")

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
    --master yarn-client \
    --num-executors 1 \
    --driver-memory 512m \
    --executor-memory 512m \
    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```

      builder.addHeader("", "Value")
    }
  }

  @Test
  fun headerAllowsTabOnlyInValues() {
    val builder = Request.Builder()
    builder.header("key", "sample\tvalue")
    assertFailsWith<IllegalArgumentException> {
      builder.header("sample\tkey", "value")
    }
  }

  @Test
  fun headerForbidsControlCharacters() {
    assertForbiddenHeader("\u0000")
    assertForbiddenHeader("\r")

    allowReserved: Optional[bool] = None


class MediaType(BaseModelWithConfig):
    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    example: Optional[Any] = None
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    encoding: Optional[Dict[str, Encoding]] = None


class ParameterBase(BaseModelWithConfig):
    description: Optional[str] = None

{!../../../docs_src/settings/tutorial001.py!}
```

### Run the server

Next, you would run the server passing the configurations as environment variables, for example you could set an `ADMIN_EMAIL` and `APP_NAME` with:

<div class="termy">

```console
$ ADMIN_EMAIL="deadpool@example.com" APP_NAME="ChimichangApp" fastapi run main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

In all the docs there are examples compatible with each version of Python (when there's a difference).

For example "**Python 3.6+**" means it's compatible with Python 3.6 or above (including 3.7, 3.8, 3.9, 3.10, etc). And "**Python 3.9+**" means it's compatible with Python 3.9 or above (including 3.10, etc).