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.

But for now, let's check these important **conceptual ideas**. These concepts also apply to any other type of web API. 💡

## Example

### Create it

* Create a file `main.py` with:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

```

</div>

<details markdown="1">
<summary>Was macht der Befehl <code>uvicorn main:app --reload</code> ...</summary>

Der Befehl `uvicorn main:app` bezieht sich auf:

* `main`: die Datei `main.py` (das Python-„Modul“).
* `app`: das Objekt, das innerhalb von `main.py` mit der Zeile `app = FastAPI()` erzeugt wurde.

```

</div>

<details markdown="1">
<summary>À propos de la commande <code>uvicorn main:app --reload</code> ...</summary>

La commande `uvicorn main:app` fait référence à :

* `main` : le fichier `main.py` (le "module" Python).
* `app` : l'objet créé à l'intérieur de `main.py` avec la ligne `app = FastAPI()`.
* `--reload` : fait redémarrer le serveur après des changements de code. À n'utiliser que pour le développement.

        steps to [XLA](https://www.tensorflow.org/xla). Note that
        `jit_compile=True` may not necessarily work for all models.
    *   Added DTensor-related Keras APIs under `tf.keras.dtensor` namespace. The
        APIs are still classified as experimental. You are welcome to try it
        out. Please check the tutorial and guide on https://www.tensorflow.org/
        for more details about DTensor.

## Приклад

### Створіть

* Створіть файл `main.py` з:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

		iptablesConfigurator: iptablesConfigurator,
		nlDeps:               nlDeps,
		ipsetDeps:            fakeIPSetDeps,
	}
}

func buildConvincingPod(v6IP bool) *corev1.Pod {
	app1 := corev1.Container{
		Name: "app1",
		Ports: []corev1.ContainerPort{
			{
				Name:          "foo-port",
				ContainerPort: 8010,
			},
			{
				Name:          "foo-2-port",
				ContainerPort: 8020,
			},
		},

// limitations under the License.

package util

import (
	"context"
	"fmt"
	"net/netip"

	corev1 "k8s.io/api/core/v1"
	"k8s.io/apimachinery/pkg/api/errors"
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/apimachinery/pkg/types"
	"k8s.io/client-go/kubernetes"

	"istio.io/api/annotation"
	"istio.io/istio/pkg/config/constants"
)

var annotationPatch = []byte(fmt.Sprintf(

</div>

## 範例

### 建立

- 建立一個 python 檔案 `main.py`，並寫入以下程式碼：

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

```

</div>

<details markdown="1">
<summary>Nipa aṣẹ kóòdù náà <code>uvicorn main:app --reload</code>...</summary>

Àṣẹ `uvicorn main:app` ń tọ́ka sí:

* `main`: fáìlì náà 'main.py' (Python "module").
* `app` jẹ object( i.e. nǹkan) tí a ṣẹ̀dá nínú `main.py` pẹ̀lú ilà `app = FastAPI()`.