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.
If you're like me and don't like the "bloat" of the official docker client, or simply want to try new things and tinker with new methods, then you're welcome to read this post. Since the blogger is using macOS, this is only a record of exploration under Mac. If there are any errors of omission, please feel free to criticize and point them out in the comment section.
When at home on vacation and needed to use EasyConnect to connect to the school's intranet, so I planned to download it and use it. But! EasyConnect is a rogue software, which is often referred to as poisonous software, so I started to look for ways to deal with it.
Long-time Linux users should be no stranger to i3wm, which differs significantly from Mac and Windows operating systems like the floating (float) desktop, which is called the tiling (tiling) desktop. When I learned about the open source project yabai for Mac, I couldn't wait to start using it.
Backed up the process of configuring aria2 under the macOS and cooperating with many plug-ins in Chrome browser to download multithreading and many other functions. Most of them are shared by GitHub authors and have been noted at the end of the article.
This activation method is valid for all JetBrains family buckets, including IDEA, PyCharm, GoLand, WebStorm, etc., for personal learning reference only! If you have previously installed an older version, it is recommended to uninstall and reinstall and start fresh.