One release here, one release there, pretty soon you have ten!

This release incorporates several new backend features that make building faster and more reproducible, in addition to the usual updates of versions and new libraries. In particular:

• The Python gds environment is now built from scratch, rather than added on top of the base environment provided by minimal-notebook. This makes resolving the versions a lot faster and does not create conflicts with some libraries as in the past.
• The gds environment is automatically turned on in the container, so the user should see no difference with the past model in accessing geo libraries
• The gds environment is built from a single .yml file that includes all downloads (also from pip), and which can thus be used to recreate the environment in other contexts if necessary
• The python and R kernels are renamed to include the version of the GDS env and also point to the appropriate environment. The base kernel that ships with minimal-notebook is hidden to avoid confusion (though the environment itself is present in the container).

Main additions as detailed in #80

Citing

@software{gds_env,
  author = { { Dani Arribas-Bel } },
  title = {\texttt{gds\_env}: A containerised platform for Geographic Data Science},
  url = {https://github.com/darribas/gds_env},
  version = {10.0},
  date = {2023-10-24},
}