C++ implementation of the Jupyter kernel protocol (github.com)

94 points by seletz 8y ago ↗ HN

12 comments

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[deleted] 8y ago ↗

(comment deleted)

d33 8y ago ↗

Interesting. Are there any examples of this library being used so far? Can anybody familiar with the topic elaborate on how much can it actually simplify things and what's left to figure out?

bfelds 8y ago ↗

This is an initiative backed by Bloomberg. It was pretty trivial to make a C++ (https://github.com/QuantStack/xeus-cling) and R (https://github.com/JuniperKernel/JuniperKernel) kernel around it.

It's pretty easy to use, the biggest work pending is in the widgets system for charting.

jmabille 8y ago ↗

We're working on it: widgets (https://github.com/QuantStack/xwidgets) and bqplot (https://github.com/QuantStack/xplot)

Also in the roadmap, a C+ backend for threejs and ipyvolume.

carreau 8y ago ↗

See the post on the Jupyter blog for more context which has a section on xeus : https://blog.jupyter.org/interactive-workflows-for-c-with-ju...

eesmith 8y ago ↗

I had heard of interactive C++ before, but to see it, and see it in a Jupyter notebook, was eye-opening.

pjmlp 8y ago ↗

Maybe you also would like to see the Energize C++ environment created by Lucid, after they pivoted away from Lisp Machines.

https://www.youtube.com/watch?v=pQQTScuApWk

http://www.dreamsongs.com/Files/Energize.pdf

eesmith 8y ago ↗

I did, but while it looked like a nice IDE (as an aside, I was a Lucid Emacs user), what amazed me about the Jupyter example was the interactive C++ interface with GUI display of objects.

pjmlp 8y ago ↗

Yes, that is pretty neat.

alphaIuGN59 8y ago ↗

I wonder what was the reason this was written in C++, not in Python or other interpreted languages? Is speed a concern here?

tavert 8y ago ↗

Embed-ability, distribution. Using Jupyter from R, Julia, etc generally has an awkward dependency on python for the notebook server.

alphaIuGN59 8y ago ↗

thanks