Data_Science_Workbench | data science enviornment for Ubuntu

Data_Science_Workbench is a Shell library typically used in Ubuntu applications. Data_Science_Workbench has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Download or copy the shell script and run it on your Ubuntu box under your home user:. You will be dumped into a Tmux shell since the Anaconda environment needs a new shell session to take affect. Jupytherhub isn’t running by default. It can be invoked by typing jupytherhub in the terminal. Adding R Kernel to Jupyter. After the script finishes, you’ll have a few things running on their default ports. Changes in Default Behavior. By default Jupyterhub use basic authentication, although SSL is available. To set up SSL, see the [Jupytherhub documentation] Shiny and RStudio Server are differant stories. Shiny open-souce edition ships with no authentication whatsoever and RStudio Server only wiht basic auth. Both offer "Enterprise" editions, which offer SSL. The simple solution would be to use an Apache2 reverse proxy to add SSL to both, but I have a feeling that may violate the terms of service. I’m too lazy to read the entire TOS, so I’ll just recomend you don’t do it. They are both licensed under [AGPL v3] if anyone is interested. Other Data Science Boxes.