complex package cleanup

package-structure-code/complex-python-package-builds.md

@@ -29,16 +29,16 @@ more information about front-end and back-end compatibility.
 In this packaging guide we recommend using `hatch` along with it's preferred back-end `hatchling`. One reason to use
 hatch with an alternate back-end is for creating an extension module. A Python extension module is one that is make up,
 either in part or entirely, of compiled code. In this case the back-end chosen (such as `meson-python`) must know how to
-compile the extension language and bind it to Python.
+compile the extension language and bind it to Python but `hatchling` is only capable of building pure Python modules.
 
 In order to use a different back-end you will need to edit your project's `pyproject.toml`. If you have a
 `pyproject.toml` generated by the `hatch` command, or from following the packaging tutorial, you may have
 to make a change like this
 
 ```diff
-  [build-system]
-- requires = ["hatchling"]
-+ requires = ["meson-python"]
-- build-backend = "hatchling.build"
-+ build-backend = "mesonpy"
+ [build-system]
+-requires = ["hatchling"]
++requires = ["meson-python"]
+-build-backend = "hatchling.build"
++build-backend = "mesonpy"
 ```

package-structure-code/python-package-build-tools.md

@@ -344,7 +344,7 @@ as building your documentation locally. This means that you could potentially dr
 :widths: 20,5,50
 :delim: "|"
 
-Use Other Build Backends|✅ | Hatch is used with the back-end Hatchling by default, but allows you to use another back-end by switching the declaration in pyproject.toml. 
+Use Other Build Backends|✅ | Hatch is used with the back-end Hatchling by default, but allows you to use another back-end by switching the declaration in pyproject.toml.
 Dependency management|✖| Currently you have to add dependencies manually with Hatch. However a feature to support dependencies management may be added in a future release.
 Environment Management |✅ | Hatch supports Python virtual environments. If you wish to use other types of environments such as Conda, you will need to [install a plugin such as hatch-conda for conda support](https://github.com/OldGrumpyViking/hatch-conda).
 Publish to PyPI and test PyPI|✅|Hatch supports publishing to both test PyPI and PyPI