After I had access to my Ubuntu Server through SSH, the next logical step (at least for me) was to enable Jupyter Notebooks running inside TORUS (Docker) to be reachable from a remote browser. That way I’m able to run python code on the server while using my browser as if it was locally installed.
More than 10 years ago I switched to a Mac and never looked back (I still use Debian and/or Ubuntu for servers though, _apt_ is the best!)… until now.
For several reasons I’ve been dealing with windows for the last month on a daily basis and I’ve to say I miss the terminal so much!
I have a server at home running Ubuntu 18.04 LTS (normal local network, behind a router with firewall activated, no DMZ) and I wanted to be able to access it though ssh. You can think of it as a TeamViewer alternative for port redirection. What’s SSH? Secure Shell (SSH) is […]
I installed everything on my Mac, and doing it all over again made no sense. I also tried Anaconda (also a great tool to start but you still have to install several packages on every new install). Then I found Torus: A Toolkit For Docker-First Data Science.
In their words: Using the project cookiecutter and Docker image together you can go from cold-steel to a new project working in a Jupyter notebook with all of the common libraries available to you in less than five minutes (and you didn’t have to pip install anything)