The list of existing jupyter kernel can be found in a github jupyter doc.

• C++
• Java
• JavaScript
• Julia
• Perl
• Python (you be installed with jupyter: jupyter is written in python)
• Ruby

To run one of these kernels:

1. jupyter-kernelspec list -> See kernel installed: get the java argument of the following command
2. jupyter-console --kernel java -> Launch jupyter-console with java kernel (console can be replaced by qtconsole or notebook)

• C++ at Github Installation requires a conda python

conda create -n cling
conda activate cling  # Or `source activate cling` for conda < 4.6
conda install xeus-cling -c conda-forge

• Works perfectly
• But, as 2019, you cannot redefine variables: get a redefinition error. Which is understandable from a gcc point of view. Cling as corrected the issue, will soon be in production and these lines must be deleted. More on xeus-cling issue. The current workaround is to use lambda function

// Cell 1
#include <iostream>
void (*myFunc)() = nullptr;
// Cell 2
myFunc = []()->void {
    std::cout << "See ?";           
};
myFunc();
// Cell 3
myFunc = []()->void {
    std::cout << "I can change";           
};
myFunc();

• Java at Github installation requires a decently recent jdk (>=9)

git clone https://github.com/SpencerPark/IJava.git
cd IJava/
./gradlew installKernel

• Works super well (even too fast)

• JavaScript at Github

sudo apt-get install nodejs npm jupyter-notebook
npm config set prefix $HOME
npm install -g ijavascript
ijsinstall

• Works perfectly

• Perl at Github

sudo apt install libzmq3-dev 
cpanm Devel::IPerl

• As of 2019, some Json parsing bugs can occur and crash the kernel → try to send well-formed Perl code.

• Ruby at Github

sudo apt install libtool libffi-dev ruby ruby-dev make
sudo apt install libzmq3-dev libczmq-dev
gem install ffi-rzmq
gem install iruby --pre
iruby register --force

• As of 2019, the kernel crash on any ruby error, apparently the execute part of the REPL do not catch errors.