Now you can import and use the client code. It could look like this, notice that you get autocompletion for the methods:

<img src="/img/tutorial/generate-clients/image02.png">

You will also get autocompletion for the payload to send:

<img src="/img/tutorial/generate-clients/image03.png">

/// tip

Notice the autocompletion for `name` and `price`, that was defined in the FastAPI application, in the `Item` model.

///

In the Python developer surveys, it's clear [that one of the most used features is "autocompletion"](https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features).

The whole **FastAPI** framework is based to satisfy that. Autocompletion works everywhere.

You will rarely need to come back to the docs.

Here's how your editor might help you:

It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.

Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.

---

## Install FastAPI { #install-fastapi }

The first step is to install FastAPI.

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then **install FastAPI**:

Then I contributed to it, to make it fully compliant with JSON Schema, to support different ways to define constraint declarations, and to improve editor support (type checks, autocompletion) based on the tests in several editors.

During the development, I also contributed to [**Starlette**](https://www.starlette.dev/), the other key requirement.

## Development { #development }

    print(f"Successfully initialized: {new_path}")
    update_languages()


@app.command()
def build_lang(
    lang: str = typer.Argument(
        ..., callback=lang_callback, autocompletion=complete_existing_lang
    ),
) -> None:
    """
    Build the docs for a language.
    """
    lang_path: Path = Path("docs") / lang
    if not lang_path.is_dir():

///

The dependencies will keep working as expected, and the **best part** is that the **type information will be preserved**, which means that your editor will be able to keep providing you with **autocompletion**, **inline errors**, etc. The same for other tools like `mypy`.

This will be especially useful when you use it in a **large code base** where you use **the same dependencies** over and over again in **many *path operations***.

///

## Recap { #recap }

With **FastAPI**, by using short, intuitive and standard Python type declarations, you get:

* Editor support: error checks, autocompletion, etc.
* Data "<dfn title="converting the string that comes from an HTTP request into Python data">parsing</dfn>"
* Data validation
* API annotation and automatic documentation

And you only have to declare them once.

The instructions here show you how to use the script at `./scripts/docs.py` with the `python` program directly.

But you can also use [Typer CLI](https://typer.tiangolo.com/typer-cli/), and you will get autocompletion in your terminal for the commands after installing completion.

If you install Typer CLI, you can install completion with:

<div class="termy">

```console
$ typer --install-completion

But then you have to call "that method that converts the first letter to upper case".

Was it `upper`? Was it `uppercase`? `first_uppercase`? `capitalize`?

Then, you try with the old programmer's friend, editor autocompletion.

You type the first parameter of the function, `first_name`, then a dot (`.`) and then hit `Ctrl+Space` to trigger the completion.

But, sadly, you get nothing useful:

<img src="/img/python-types/image01.png">

///

### 多種編輯器支援 { #editor-support }

整個框架的設計是為了讓使用變得簡單且直觀，在開始開發之前，所有決策都在多個編輯器上進行了測試，以確保提供最佳的開發體驗。

在最近的 Python 開發者調查中，我們能看到[被使用最多的功能是 autocompletion](https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features)。

整個 **FastAPI** 框架就是基於這一點，任何地方都可以進行自動補齊。

你幾乎不需要經常來回看文件。

在這裡，你的編輯器可能會這樣幫助你：