I downloaded the git zip of jkernel from here: https://github.com/martin-saurer/jkernel

And followed the instructions to modify the configuration file to point to my j807 dir and copied the dirs and files listed under INSTALLATION from the jkernel-master dirs to the Anaconda dirs.

At this point, I could run the Jupyter Notebook and try out Martin's jkernel-master/examples or John's jod-master/jodnotebooks examples.

Good luck,
David Mitchell

On 1/29/2019 13:47, 'Mike Day' via Programming wrote:
Not sure who Martin was (as mentioned below),  I eventually found

https://code.jsoftware.com/wiki/Guides/Jupyter, contributed by "Martin Saurer"


This is fine,  but the download/jupyter link on that page refers to zipped j805 packages,

with the Windows version apparently only available in 32-bit form.

Does it need to be installed stand-alone, which is what I've done for now,  or can we

install and use it under J807?


Also - I downloaded Anaconda, which was quite hefty - was this really necessary?

The zip includes a python 3 kernel as far as I can tell.


Thanks,

Mike



On 28/01/2019 17:51, John Baker wrote:
The best way to get an interactive J Jupyter notebook is to install Anaconda and follow Martin’s instructions for setting up a J kernel.

Martin’s instructions define kernels for Windows, Linux and Macs and Anaconda runs on all these systems.

Once this is done any J Jupyter Notebook is 100% interactive.



Sent from my iPhone

On Jan 28, 2019, at 10:34 AM, Raul Miller <rauldmil...@gmail.com> wrote:

I meant the interactive labs.

Is there a good jupyter environment that J could use for labs which
works across platforms?

If it's not interactive J and/or if it doesn't work cross platform, it
pretty much misses the entire point.

Thanks,

--
Raul

On Mon, Jan 28, 2019 at 11:35 AM John Baker <bakerj...@gmail.com> wrote:

Yes,

The notebooks can be rendered as. HTML or PDF.  Look up nbviewer for all the details.

Sent from my iPhone

On Jan 28, 2019, at 8:59 AM, Raul Miller <rauldmil...@gmail.com> wrote:

Can jupyter content be viewed portably on non-jupyter hardware?

If so, how?

Thanks,

--
Raul

On Sun, Jan 27, 2019 at 3:12 PM John Baker <bakerj...@gmail.com> wrote:

When I first encountered Jupyter Notebooks I thought they would make an
excellent delievery mechanism for J labs.

This weekend I converted some J/JOD labs to Jupyter.

Jupyter labs support a richer documentation and execution environment than
we are used to seeing with J labs. You get all the typographic goodies of
Markdown, code pretty printing and, best of all, the final result can be
easily browsed by anyone. Casual browsers do not have to install J to view
lab output.

I would recommend all addon and lab authors to consider producing Jupyter
versions. It will help expose J's delights to wider audiences.

Have a look:

https://github.com/bakerjd99/jod/blob/master/jodnotebooks/JOD%20Labs%20in%20Jupyter.ipynb

https://github.com/bakerjd99/jod/blob/master/jodnotebooks/JOD%20Introduction%20Lab.ipynb

https://github.com/bakerjd99/jod/blob/master/jodnotebooks/JOD%20Source%20Code%20Dump%20Scripts%20Lab.ipynb

https://github.com/bakerjd99/jod/blob/master/jodnotebooks/JOD%20Source%20Code%20Dump%20Scripts%20Lab.ipynb

John Baker
J'ugglar at Large







--
John D. Baker
bakerj...@gmail.com
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