So the Jupyter Labs container I shared with everyone yesterday has undergone some improvements I wanted to share, namely, it now supports 7 different languages rather than just 4: Python3, ruby, julia, Rust, R, Haskell, and Javascript.

In case you are unfamiliar Jupyter Labs is a way to write notebooks (formated text with inline code that runs and displays elements like graphs or text). These notebooks are often used in science settings and as such I have integrated all the science tools python has to offer more or less. It is a great place to write up technical documents with working code side by side with the data it produces, but its also a great environment to play around with various programming languages and try out snippets without needing a full project environment. Thanks to the support of many different languages it is a great way to learn and try a language without needing to set anything up, since it all runs from a container.

In short just run a single command to bring up the container (the image is pulled from docker hub) and in a few minutes you will have a running web server you can point your browser to and start coing in any of the 7 languages supported. I use it to share snippet ideas. It is backed by anaconda so you can easily upload a notebook to their servers and then share a static version of it with people by sharing a link to the notebook, which can be viewed directly without needing any apps, not even Jupyter Labs installed.

Check it out here:

https://git.qoto.org/modjular/jupyter-all

or just get the docker container image directly: modjular/jupyter-all:latest

#Docker #Python #R #Ruby #julia #Haskell #Javascript #Rust #programming #foss #oss #coding #container #containers @Science