당신은 `first_name`를 입력한 뒤 점(`.`)을 입력하고 자동완성을 켜기 위해서 `Ctrl+Space`를 눌렀습니다.

하지만 슬프게도 아무런 도움이 되지 않습니다:

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

### 타입 추가하기

이전 버전에서 한 줄만 수정해봅시다.

저희는 이 함수의 매개변수 부분:

```Python
    first_name, last_name
```

을 아래와 같이 바꿀 겁니다:

```Python
    first_name: str, last_name: str
```

이게 다입니다.

이게 "타입 힌트"입니다:

        Install-Python -version $v.version -prependPath $v.prependPath; \
    }; \
    Write-Host 'Python installations complete.';

# Add a python3 symlink for the Python in PATH.
# It's not feasible to add one for each version, as on Windows,
# Python uses PATH and the binary's (symlink's) location, to launch itself.
RUN C:\tools\msys64\usr\bin\bash.exe -lc 'ln -s /c/Python3.13/python.exe /usr/bin/python3';

# Setup Python
COPY setup.python.sh /setup.python.sh
COPY builder.requirements.txt /builder.requirements.txt
RUN /setup.python.sh python3.9 /builder.requirements.txt
RUN /setup.python.sh python3.10 /builder.requirements.txt
RUN /setup.python.sh python3.11 /builder.requirements.txt
RUN /setup.python.sh python3.13 /builder.requirements.txt
RUN /setup.python.sh python3.13-nogil /builder.requirements.txt

RUN /setup.python.sh python3.9 requirements.txt
RUN /setup.python.sh python3.10 requirements.txt
RUN /setup.python.sh python3.11 requirements.txt
RUN /setup.python.sh python3.12 requirements.txt
RUN /setup.python.sh python3.13 requirements.txt
# python3.13-nogil is a free-threaded build of python3.13.
RUN /setup.python.sh python3.13-nogil requirements.txt
RUN /setup.python.sh python3.14 requirements.txt

venv_dir=$(mktemp -d)
if [[ $(uname -s) != MSYS_NT* ]]; then
  "python${TFCI_PYTHON_VERSION}" -m venv "$venv_dir"
  python="$venv_dir/bin/python3"
else
  # When using the Linux-like path, venv creation quietly fails, which is
  # why it's converted here.
  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

자세한 내용은 <a href="https://docs.python.org/3/library/__main__.html" class="external-link" target="_blank">공식 Python 문서</a>를 확인하세요

///

## 디버거로 코드 실행

코드에서 직접 Uvicorn 서버를 실행하고 있기 때문에 디버거에서 직접 Python 프로그램(FastAPI 애플리케이션)을 호출할 수 있습니다.

---

예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다.

* "Debug" 패널로 이동합니다.
* "Add configuration...".
* "Python"을 선택합니다.
* "`Python: Current File (Integrated Terminal)`" 옵션으로 디버거를 실행합니다.

if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python3 tensorflow/tools/ci_build/update_version.py --nightly
fi

# This generates a pure python wheel of the format "*-py3-none-any.whl"
bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR"

# Get the name of the pure python wheel that was built. This should
# resolve to either

  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  pyenv install -s "3.11"
  if [[ $? -eq 0 ]]; then
    pyenv local "3.11"
    export CLOUDSDK_PYTHON=$(pyenv which python3.11)
  else
    echo "Python 3.11 not found, falling back to system python"
    export CLOUDSDK_PYTHON=$(which python3)

Wenn wir es ausgeben:

```Python
print(user_dict)
```

bekommen wir ein Python-`dict`:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Ein `dict` entpacken

* Wenn Sie eine Python-Version kleiner als 3.9 verwenden, importieren Sie das Äquivalent zum entsprechenden Typ vom `typing`-Modul
* Überreichen Sie den/die inneren Typ(en) von eckigen Klammern umschlossen, `[` und `]`, als „Typ-Parameter“

In Python 3.9 wäre das:

```Python
my_list: list[str]
```

Und in Python-Versionen vor 3.9:

```Python
from typing import List

my_list: List[str]
```