C++ implementation of the Jupyter kernel protocol (opens in new tab)

(github.com)

94 pointsseletz8y ago11 comments

11 comments

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...

eesmith8y ago

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

pjmlp8y 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

1 more reply

d338y 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?

bfelds8y 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.

jmabille8y 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.

alphaIuGN598y ago

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

tavert8y ago

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

alphaIuGN598y ago

thanks

j / k navigate · click thread line to collapse

11 comments

carreau8y 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...

eesmith8y ago

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

pjmlp8y 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

1 more reply

d338y 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?

bfelds8y 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.

jmabille8y 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.

alphaIuGN598y ago

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

tavert8y ago

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

alphaIuGN598y ago

thanks

j / k navigate · click thread line to collapse