Python and R again in same environment. R is now 4.4.0. Installed and updated packages. - After separating R and python was not successfull, I went back to having python and R in the same conda environment. - Python and python packages are installed via conda if possible else pip. - R is not installed via conda (unreliable) but compiled within the conda environment. System dependencies are managed via conda however. - R packages are installed via the R package pak. System dependencies are managed again via conda. - R is now 4.4.0. All R packages were updated accordingly. - RStudio server and quarto were updated to the most recent version. - For spatial analysis, additional packages were installed (R: Voyager, VoltRon, Banksy, ..-; python: spatialdata, sopa, squidpy, ...).