UsageError: Cell magic `%%kernel` not found.

[dnk8n]

After installing beakerx through conda I can see the following:

jovyan@33e40db3e7ef:~$ jupyter kernelspec list
Available kernels:
  julia-0.6    /home/jovyan/.local/share/jupyter/kernels/julia-0.6
  clojure      /opt/conda/share/jupyter/kernels/clojure
  groovy       /opt/conda/share/jupyter/kernels/groovy
  java         /opt/conda/share/jupyter/kernels/java
  kotlin       /opt/conda/share/jupyter/kernels/kotlin
  python3      /opt/conda/share/jupyter/kernels/python3
  scala        /opt/conda/share/jupyter/kernels/scala
  sql          /opt/conda/share/jupyter/kernels/sql

I can use each of these kernels except Julia with the %%scala, %javascript, etc commands.

As you can see in the screenshot, %%kernel is not found as a cell magic.

I unfortunately do need Julia 0.6.4 since the libraries I require depend on it.

I am running in a Docker container (Dockerfile here) which is based off the official Jupyter minimal notebook (tag, 83ed2c63671f, which was the latest yesterday) . It comes with conda included, see version below. I installed Julia 0.6.4 like this.

Some other version info:

jovyan@33e40db3e7ef:~$ jupyter --version
4.4.0

jovyan@33e40db3e7ef:~$ beakerx --version
1.3.0

jovyan@33e40db3e7ef:~$ conda --version
conda 4.5.12

jovyan@33e40db3e7ef:~$ uname -a
Linux 33e40db3e7ef 4.15.0-45-generic #48-Ubuntu SMP Tue Jan 29 16:28:13 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux

And by doing a conda list I can reveal the following ipython/jupyter related versions:

ipykernel                 5.1.0           py37h24bf2e0_1001    conda-forge
ipython                   7.2.0           py37h24bf2e0_1000    conda-forge
ipython_genutils          0.2.0                      py_1    conda-forge
ipywidgets                7.4.2                      py_0    conda-forge
jupyter_client            5.2.4                      py_0    conda-forge
jupyter_core              4.4.0                      py_0    conda-forge
jupyterhub                0.9.4                 py37_1000    conda-forge
jupyterlab                0.35.4                   py37_0    conda-forge
jupyterlab_server         0.2.0                      py_0    conda-forge

This attachment shows my Julia kernel working fine, and it shows it not working in a polyglot environment.

Anything I am not doing correctly? Maybe I am missing steps to install support for Julia. Please let me know if there is any more info I can give.

[kundeng]

Is there a workaround??