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jupyter / tmpnb

Creates temporary Jupyter Notebook servers using Docker containers. [DEPRECATED - See BinderHub project]
https://github.com/jupyterhub/binderhub
BSD 3-Clause "New" or "Revised" License
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Octave Kernel and Sagemath kernel #203

Open jmarcellopereira opened 8 years ago

jmarcellopereira commented 8 years ago

Hello I love using jupyter and design tray.jupyter is fantastic! you can add the octave kernel, sagemath and maxima to the project?

captainsafia commented 8 years ago

Hello! Glad you enjoy using try.jupyter.org. However, we can't add special kernels to the deployed image at this moment.

I'd be happy to guide you through setting up your own tmpnb deployment with the kernels you want though.

rgbkrk commented 8 years ago

Amusingly, I almost put sagemath on try.jupyter.org during PyCon 2013 though we had to hold off at the time until their next release that was easier to rely on as a kernel for Jupyter notebook (instead of the Sage notebook). I'm still open to this, even though sagemath is somewhat hefty. The octave kernel IIRC is pretty simple, I couldn't imagine that being too bad. I've not used Maxima (nor its Jupyter kernel).

As for bandwidth though, I'm not likely to touch implementing or deploying these in the short term.

zmughal commented 8 years ago

I would like to do the same with the IPerl kernel and possibly the IPerl6 kernel. Is there a process I can follow to make that easier when bandwidth for this issue opens up?

CC: https://github.com/EntropyOrg/p5-Devel-IPerl/issues/56