Standalone Jupyter Notebook / J - Environments available for download

[Martin Saurer]

Dear All,

As of now, standalone Jupyter Notebook / J - environments are available for download. The packages for Windows/Linux/Mac contain everything you need to run the Jupyter Notebook together with the J kernel. The packages contain pre-configured J, Python and Jupyter environments, so no additional downloads are needed. Also there is no installation procedure, and therefore no changes are made to your system.

J (J language) is a high-level, general-purpose, high-performance programming language. J is portable and runs on 32/64-bit Windows/Linux/Mac as well as iOS, Android, and other platforms. J is particularly strong in the mathematical, statistical, and logical analysis of data. It is a powerful tool in building new and better solutions to old problems and even better at finding solutions where the problem is not already well understood.

Several demos and showcases are included to show J’s capabilities in mathematics and data analysis. More examples (J Labs) can be downloaded from https://github.com/jsoftware/jupyter. Furthermore, these environments are fully functional (not just another demo), and contain everything you need to create and run your own J based Jupyter Notebooks.

Just download and run jupyter-notebook.cmd (Windows), jupyter-notebook.command (Mac) or jupyter-notebook.sh (Linux) from the unpacked JDemo folder.

Have fun!

Martin