Add more pyprojects.toml examples

README.rst

@@ -78,9 +78,34 @@ supports both installing your ``project.dependencies`` as well as your
 ``project.optional-dependencies``. Thanks to the fact that this is an
 official standard, you can use ``pip-compile`` to pin the dependencies
 in projects that use modern standards-adhering packaging tools like
-`Hatch <https://hatch.pypa.io/>`_ or `flit <https://flit.pypa.io/>`_.
+`Setuptools <https://setuptools.pypa.io>`_ , `Hatch <https://hatch.pypa.io/>`_
+or `flit <https://flit.pypa.io/>`_.
 
-Suppose you have a Django application that is packaged using ``Hatch``, and you
+Suppose you have a 'foobar' Python application that is packaged using ``Setuptools``,
+and you want to pin it for production. You can declare the project metadata as:
+
+.. code-block:: toml
+
+ [build-system]
+ requires = ["setuptools", "setuptools-scm"]
+ build-backend = "setuptools.build_meta"
+
+ [project]
+ name = "foobar"
+ description = "foobar description"
+ classifiers = [
+ "Programming Language :: Python", 
+ "Programming Language :: Python :: 3",
+ ]
+ dynamic = ["version", "dependencies"]
+
+ [project.urls]
+ homepage = "https:/xyz/foobar"
+
+ [tool.setuptools.dynamic]
+ dependencies = { file = [".config/requirements.in"] }
+
+If you have a Django application that is packaged using ``Hatch``, and you
 want to pin it for production. You also want to pin your development tools
 in a separate pin file. You declare ``django`` as a dependency and create an
 optional dependency ``dev`` that includes ``pytest``: