Dani Arribas-Bel

Here's a current strategy that lets you run a container built for Intel on Apple silicon: https://tongfamily.com/2021/12/21/docker-on-apple-m1-break-on-jupyter-notebooks-switch-to-podman/ @martinfleis has tried it and confirmed it worked. It's not ideal but gets...

Adding as we start readying for `8.0`, the official Jupyter stack discussed move to cross-chip support at [`docker-stacks#1019`](https://github.com/jupyter/docker-stacks/issues/1019) and currently supports builds for `arm64` (e.g., M1) withing the `minimal-notebook` image...

Switch back to [`felt/tippecanoe`](https://github.com/felt/tippecanoe)

Consider adding `duckdb`

An alternative to `conda-lock` that might work just as well through Github Actions would rely on vanilla `conda` ability to build [identical environments](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#building-identical-conda-environments): - Build `gds_py` on the `Dockerfile` -...

Arch's to be supported (and write explicit files for): - `win-64` - `osx-64` - `osx-arm64` - `linux-64` - `linux-aarch64`

Testing of `geopandas` added in b62785af29b1eb5d90e3162c8ec9b34bf0c4ed0c

Maybe we should consider a list of packages to test: - [x] `geopandas` - [ ] `xarray` - [ ] `rasterio` - [ ] PySAL federation - [ ] ...

@ljwolf and I have decided on the following approach for thanking in the book: - Compile all thanks with detail (e.g., issue raised) on a page at the Endmatter, before...

- Remember to add everyone in the [`community-reported`](https://github.com/gdsbook/book/issues?q=is%3Aissue+is%3Aopen+label%3Acommunity-reported) tag