Remove jupyter-packaging for conda

[tobiasdiez]

📚 Description

We don't need jupyter-packaging (explicitly, maybe only some dependencies need it, depending on versions) so conda is able to build the dependency tree. Part of #34626. Moreover, its not working with the conda 3.11 test: https://github.com/sagemath/sage/actions/runs/4906896658/jobs/8761652608

📝 Checklist

• The title is concise, informative, and self-explanatory.
• The description explains in detail what this PR is about.
• I have linked a relevant issue or discussion.
• I have created tests covering the changes.
• I have updated the documentation accordingly.

⌛ Dependencies

[mkoeppe]

This is fine, although the same applies also to other packages that are only build dependencies. For example added in #35593, hatch_*, and some from your list in #34626

[tobiasdiez]

@mkoeppe Thanks for the review!

Concerning the word "build dependency", jupyter-packacking is not a build dependency of sagemath (lib), it's a build dependency of some versions of some dependencies, right? Then yes, all such transitive build dependencies can be removed from the conda env.

[mkoeppe]

Yes, it's a build dependency of some jupyterlab components.

[mkoeppe]

In fact, I'm hoping that we can get rid of jupyter-packaging (whose main function is to orchestrate javascript builds) from the Sage distribution itself, by switching all such packages from source packages to wheel packages.

[github-actions]

Documentation preview for this PR is ready! 🎉
Built with commit: 808069e