## Recap, step by step { #recap-step-by-step }

### Step 1: import `FastAPI` { #step-1-import-fastapi }

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI` is a Python class that provides all the functionality for your API.

/// note | Technical Details

`FastAPI` is a class that inherits directly from `Starlette`.

///

/// warning

If you do this, you have to make sure each one of your *path operation functions* has a unique name.

Even if they are in different modules (Python files).

///

## Exclude from OpenAPI { #exclude-from-openapi }

📚 💼, 👆 💪 ⚙️ 🐍 ⚒ "🏗" `dict` ⏮️ `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

📥, `new_dict` 🔜 🔌 🌐 🔑-💲 👫 ⚪️➡️ `old_dict` ➕ 🆕 🔑-💲 👫:

```Python
{
    "old key": "old value",
    "second old key": "second old value",

* `skip` : avec une valeur de`0`
* `limit` : avec une valeur de `10`

Faisant partie de l'URL, ces valeurs sont des chaînes de caractères (`str`).

Mais quand on les déclare avec des types Python (dans l'exemple précédent, en tant qu'`int`), elles sont converties dans les types renseignés.

Toutes les fonctionnalités qui s'appliquent aux paramètres de chemin s'appliquent aussi aux paramètres de requête :

Beim Ansehen von Benchmarks und Vergleichen sollten Sie jedoch Folgende Punkte beachten.

## Benchmarks und Geschwindigkeit

```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion

## Example Lambda handler

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py

{* ../../docs_src/events/tutorial003.py hl[1,13] *}

**🔑 👨‍💼** 🐍 🕳 👈 👆 💪 ⚙️ `with` 📄, 🖼, `open()` 💪 ⚙️ 🔑 👨‍💼:

```Python
with open("file.txt") as file:
    file.read()
```

⏮️ ⏬ 🐍, 📤 **🔁 🔑 👨‍💼**. 👆 🔜 ⚙️ ⚫️ ⏮️ `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

#### 📊 ⏮️ 💲 🏑 ⏮️ 🔢

✋️ 🚥 👆 📊 ✔️ 💲 🏷 🏑 ⏮️ 🔢 💲, 💖 🏬 ⏮️ 🆔 `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

👫 🔜 🔌 📨.

#### 📊 ⏮️ 🎏 💲 🔢

🚥 📊 ✔️ 🎏 💲 🔢 🕐, 💖 🏬 ⏮️ 🆔 `baz`:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,

*경로 작동 함수*에서의 `async def` 문법에 대한 세부사항과 비동기 코드, 동시성 및 병렬성에 대한 배경

## 바쁘신 경우

<strong>요약</strong>

다음과 같이 `await`를 사용해 호출하는 제3의 라이브러리를 사용하는 경우:

```Python
results = await some_library()
```

다음처럼 *경로 작동 함수*를 `async def`를 사용해 선언하십시오:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note | 참고