nwhitehead
FEATURE: read registered Jupyter kernels and enable launch
Jupyter now supports all kinds of kernels which can be installed independently of the Jupyter notebook server itself. These are registered with the kernel by creating kernel definition files in a specific folder: https://ipython.org/ipython-doc/dev/development/kernels.html
It should be possible to configure the Jupyter instance inside pineapple to read these definitions and run the appropriate kernel. This would make it possible to connect to a custom python environment (e.g. you could install Anaconda and use it's ipython kernel) as well as support kernels in other languages (e.g. Julia or R).
This one is high priority. Many people want to use their existing Anaconda setup with all their packages, I like the idea of having a default Python included but then being able to configure other kernels.
I would love a PyPy3 kernel, perfect for numerical experimentation, easier than C++/Cling, faster than Python.
