fi

# Install pip

wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip

# Disable the cache dir to save image space, and install packages

fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools

# Disable the cache dir to save image space, and install packages

////

## Atualizar `pip`

/// tip | "Dica"

Se você usar <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">`uv`</a>, você o usará para instalar coisas em vez do `pip`, então não precisará atualizar o `pip`. 😎

///

            pyproject.toml
      - name: Install docs extras
        run: uv pip install -r requirements-docs.txt
      # Install MkDocs Material Insiders here just to put it in the cache for the rest of the steps
      - name: Install Material for MkDocs Insiders
        if: ( github.event_name != 'pull_request' || github.secret_source == 'Actions' )
        run: uv pip install -r requirements-docs-insiders.txt
        env:

python="$venv/bin/python3"
# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  "$python" -m pip install numpy==1.26.0
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then

  # included in the pip package.
  # (comm: Column 1 is left, Column 2 is right, Column 3 is shared lines)
  comm -2 -3 $BATS_TEST_TMPDIR/required_deps $BATS_TEST_TMPDIR/pip_deps > $BATS_TEST_TMPDIR/missing_deps || true

  if [[ -s $BATS_TEST_TMPDIR/missing_deps ]]; then
    cat <<EOF
One or more test dependencies are not in the pip package.

        with:
          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies
        run: pip install build
      - name: Build distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build
      - name: Publish

            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - name: Install Pydantic v1
        if: matrix.pydantic-version == 'pydantic-v1'
        run: uv pip install "pydantic>=1.10.0,<2.0.0"
      - name: Install Pydantic v2
        if: matrix.pydantic-version == 'pydantic-v2'
        run: uv pip install --upgrade "pydantic>=2.0.2,<3.0.0"
      - run: mkdir coverage

      uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pylint==2.13.9 numpy wheel
    - name: Run PyLint on changed files
      run: |

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...이는 코드를 실행하는 서버로 사용할 수 있는 `uvicorn` 또한 포함하고 있습니다.

/// note | "참고"

부분적으로 설치할 수도 있습니다.

애플리케이션을 운영 환경에 배포하려는 경우 다음과 같이 합니다:

```
pip install fastapi
```

추가로 서버 역할을 하는 `uvicorn`을 설치합니다:

```
pip install uvicorn
```

사용하려는 각 선택적인 의존성에 대해서도 동일합니다.

///