werkzeug==3.1.3 \
    --hash=sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e \
    --hash=sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746
    # via tb-nightly
wheel==0.41.3 \
    --hash=sha256:488609bc63a29322326e05560731bf7bfea8e48ad646e1f5e40d366607de0942 \
    --hash=sha256:4d4987ce51a49370ea65c0bfd2234e8ce80a12780820d9dc462597a6e60d0841
    # via

werkzeug==3.1.3 \
    --hash=sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e \
    --hash=sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746
    # via tb-nightly
wheel==0.41.3 \
    --hash=sha256:488609bc63a29322326e05560731bf7bfea8e48ad646e1f5e40d366607de0942 \
    --hash=sha256:4d4987ce51a49370ea65c0bfd2234e8ce80a12780820d9dc462597a6e60d0841
    # via

    cat "$FROM_ENV"
    source "$FROM_ENV"
    rm "$FROM_ENV"
  fi
  set +u
fi

# If building installer wheels, set the required environment variables that are
# read by setup.py.
if [[ "$TFCI_INSTALLER_WHL_ENABLE" == 1 ]]; then
  export collaborator_build=True
  # If building nightly installer wheels, set the project name to
  # nightly equivalent.
  if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then

__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.

TFCI_LIB_SUFFIX="-tpu-linux-x86_64"
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_IMPORT_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=580M

/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


# For Python 3.13t, do not install twine as it does not have pre-built wheels
# for this Python version and building it from source fails. We only need twine
# to be present on the system Python which in this case is 3.12.
# Same reason for Python 3.14.

/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip

# For Python 3.13t, do not install twine as it does not have pre-built wheels
# for this Python version and building it from source fails. We only need twine
# to be present on the system Python which in this case is 3.12.

*   TensorFlow Windows Build:

    *   Clang is now the default compiler to build TensorFlow CPU wheels on the
        Windows Platform starting with this release. The currently supported
        version is LLVM/clang 17. The official Wheels-published on PyPI will be
        based on Clang; however, users retain the option to build wheels using
        the MSVC compiler following the steps mentioned in

{% endif %}

<!-- /sponsors -->

<a href="https://fastapi.tiangolo.com/fastapi-people/#sponsors" class="external-link" target="_blank">Overige sponsoren</a>

## Meningen

"_[...] Ik gebruik **FastAPI** heel vaak tegenwoordig. [...] Ik ben van plan om het te gebruiken voor alle **ML-services van mijn team bij Microsoft**. Sommige van deze worden geïntegreerd in het kernproduct van **Windows** en sommige **Office**-producten._"

``
* <abbr title="Voegt ze samen, als één. Met de inhoud van de een na de ander.">Voeg samen</abbr> met een spatie in het midden.

{* ../../docs_src/python_types/tutorial001.py hl[2] *}


### Bewerk het

Dit is een heel eenvoudig programma.

Maar stel je nu voor dat je het vanaf nul zou moeten maken.

Op een gegeven moment zou je aan de definitie van de functie zijn begonnen, je had de parameters klaar...