### Nebenläufigkeit + Parallelität: Web + maschinelles Lernen

### Concurrencia + Paralelismo: Web + Machine Learning

Con **FastAPI** puedes aprovechar la concurrencia que es muy común para el desarrollo web (atractivo principal de NodeJS).

				"message/vnd.si.simp",
				"model/example",
				"model/iges",
				"model/mesh",
				"model/vnd.dwf",
				"model/vnd.dwfx+xps",
				"model/vnd.flatland.3dml",
				"model/vnd.gdl",
				"model/vnd.gs-gdl",
				"model/vnd.gs.gdl",
				"model/vnd.gtw",
				"model/vnd.moml+xml",
				"model/vnd.mts",
				"model/vnd.parasolid.transmit.binary",
				"model/vnd.parasolid.transmit.text",

 *  **OkHttp now does cookies.** We've replaced `java.net.CookieHandler` with
    a new interface, `CookieJar` and added our own `Cookie` model class. This
    new cookie follows the latest RFC and supports the same cookie attributes
    as modern web browsers.

 *  **Form and Multipart bodies are now modeled.** We've replaced the opaque
    `FormEncodingBuilder` with the more powerful `FormBody` and

    *   `Model.fit_generator`, `Model.evaluate_generator`,
        `Model.predict_generator`, `Model.train_on_batch`,
        `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect
        the `run_eagerly` property, and will correctly run using `tf.function`
        by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,

  <mime-type type="model/vnd.flatland.3dml"/>
  <mime-type type="model/vnd.gdl">
    <glob pattern="*.gdl"/>
  </mime-type>
  <mime-type type="model/vnd.gs-gdl"/>
  <mime-type type="model/vnd.gs.gdl"/>
  <mime-type type="model/vnd.gtw">
    <glob pattern="*.gtw"/>
  </mime-type>
  <mime-type type="model/vnd.moml+xml"/>
  <mime-type type="model/vnd.mts">
    <glob pattern="*.mts"/>
  </mime-type>

@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):
    return filter_query
```

Read the new docs: [Query Parameter Models](https://fastapi.tiangolo.com/tutorial/query-param-models/).

#### `Header` Parameter Models

Use Pydantic models for `Header` parameters:

```python
from typing import Annotated

from fastapi import FastAPI, Header
from pydantic import BaseModel