Martin,
I am deeply impressed with Jupyter Notebook for J, so I want to thank
you and Chris for all the work you have done to make this available to
the J community.
It seems to me that J notebooks could well be of strategic importance
for the long-term future competitiveness of J .
regards
Roger
On 5/1/2017 8:11 PM, Herr Martin Saurer wrote:
Dear All,
As of now, standalone Jupyter Notebook / J - environments are available for
download at
http://code.jsoftware.com/wiki/Guides/Jupyter
<http://code.jsoftware.com/wiki/Guides/Jupyter>. 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.
The Jupyter Notebook is an open-source web application that allows you to
create and share
documents that contain live code, equations, visualizations and explanatory
text. Uses
include: data cleaning and transformation, numerical simulation, statistical
modelling,
machine learning and much more.
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 <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.
Many thanks to Chris Burke for converting J Labs to Jupyter Notebooks, and for
testing
the environments.
Have fun!
Best Regards
Martin
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