Best way to distribute kernels

[Didier Amyot]

Hi there,

I am building a kernel for clojure and I would like to know what is the best way to distribute a kernel.  Personally, I would like a user to be able to pip install jupyter-clojure and then that magically the user would have a clojure kernel in his jupyter settings.  But here, I see many issues as python setuptools is not made to play in the user's home directory (not to raise the permission and security issues). 

Anyway, are there kernels that are easy to install that I should copy?

cheers,

didier

[sp...@draves.org]

Hi Didier, pip and conda work well for beakerx, and your situation sounds similar so they might work for you.

The pip package installs regular static files for the kernel (or whatever) into the environment only, as usual.

and then the user runs a 2nd command to install the kernel into jupyter.  Conda installs the

same python package, and then automatically runs the installer.  The exact commands run by a user would be similar to these: http://beakerx.com/documentation#tutorials-and-examples (but a bit simpler since you don't need ipywidgets).

here's how that's implemented.

the installer:

https://github.com/twosigma/beakerx/blob/master/beakerx/beakerx/install.py

and the post-link scripts in the conda recipe that runs the installer:

https://github.com/conda-forge/beakerx-feedstock/tree/master/recipe

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BeakerX.com

ScottDraves.com

@Scott_Draves

[Didier Amyot]

I was about to replay that this solution is a hack but it actually make sense in conjugation with jupyter kernelspec install/remove.  I'll write something and comeback on the thread for my feedbacks.

thanks!

didier

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