Jupyter

I introduced in another article in the Linux remote server using conda configuration r-kernel jupyter notebook, but I found that conda for a variety of dependency conflicts are not handled well, often leading to unsuccessful installation. In macOS system locally using brew for installation is much easier and faster. Here I summarized steps for reference.

Due to the author's frequent use of conda to configure the R kernel jupyter notebook on Linux remote servers, some steps are forgotten over time (the main problem is that the same pit will be stepped on differently every time). After summarizing the relevant tutorials and personal experience on the internet, a guide is provided for everyone and future me to refer to.