How to run cpp on jupyter notebook
Requirements
- Conda
- Works on Ubuntu 20.04
We use xeus-cling to run cpp on jupyter notebook. Check out My GitHub repo & 
In case you have docker, you can do all the below in just 3 steps. Check out my other post! 
Just in case, you want to learn more but suffer/sweat/bleed a little then follow the below. 
#Download minconda
Download and run file for linux x64 https://docs.conda.io/en/latest/miniconda.html
# DO NOT ENABLE BY DEFAULT
conda config --set auto_activate_base false
# HAVE A DEFAULT
conda update -n base -c defaults conda
# CREATE ONE FOR CLING
conda create -n cling
#INSTALL THE REQUIRED
conda install jupyter
conda install notebook
#ACTIVATE
conda activate cling #okay!
# INSTALL
conda install xeus-cling -c conda-forge #NOT WORKING?
#RUN
jupyter notebook
# Browse
http://localhost:8888/
Choose C++11/14/17 from dropdown based on requrement.
The Activate and Run step is what we require after installation.
Check out my github repo
git clone https://github.com/mrprajesh/run-cpp-on-jupyter.git
cd run-cpp-on-jupyter
#ACTIVATE
conda activate cling
#RUN
jupyter notebook
# Open Browser, Write and Run
# Usually it is http://localhost:8888/
Office use.
#ACTIVATE
source activate cling #not working
# LETS DOWNGRADE
conda install xeus-cling==0.9.0 -c conda-forge
# NOT WORKING
jupyter console --kernel xcpp14
jupyter kernelspec install PREFIX/share/jupyter/xcpp14 --sys-prefix