* Otomatik olarak data modelinin <a href="http://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> ile beraber dokümante edilmesi (OpenAPI'n kendisi zaten JSON Schema'ya dayanıyor).

  // to build a graph operation.
  string op_type_;
  const char* op_name_ = nullptr;
  // TODO(srbs): Use this.
  string device_name_;
};

// GraphContext wraps a TF_Graph modeling a single function and manages the
// "execution" of operation, i.e. adding them to the function.
class GraphContext : public TracingContext {
 public:
  explicit GraphContext(const char* name)

Hepsi sadece **Python** standartlarına dayalıdır.

Örnek olarak, `int` tanımlamak için:

```Python
item_id: int
```

ya da daha kompleks herhangi bir python modelini tanımlayabiliriz, örneğin `Item` modeli için:

```Python
item: Item
```

...ve sadece kısa bir parametre tipi belirterek elde ettiklerimiz:

* Editör desteğiyle birlikte:
    * Otomatik tamamlama.

  public static final MediaType SHOCKWAVE_FLASH =
      createConstant(APPLICATION_TYPE, "x-shockwave-flash");

  /**
   * {@code skp} files produced by the 3D Modeling software <a
   * href="https://www.sketchup.com/">SketchUp</a>
   *
   * @since 13.0
   */
  public static final MediaType SKETCHUP = createConstant(APPLICATION_TYPE, "vnd.sketchup.skp");

  /**

    *   Note: This feature will be enabled by default in an upcoming version of
        TensorFlow.

*   `tf.experimental.dtensor`: Added DTensor, an extension to TensorFlow for
    large-scale modeling with minimal changes to user code. You are welcome to
    try it out, though be aware that the DTensor API is experimental and up-to
    backward-incompatible changes. DTensor and Keras integration is published