How to run Jupyter with tensorflow , mxnet and julia support

This is my first post on codementor. I like simplicity and simplicity. I will try to write down my articles in two main parts. First part "Question and Need", second part "Solution and Workaround" . Lets start !!!

Question and Need

How to prepare a development environment with Jupyter Notebook , MXNet , Julia , Tensorflow , NumPy , Python , Miniconda on Debian based linux distros (Ubuntu, Linux Mint, MX Linux)

Solution and Workaround

First change some environment variables :

export PATH=/opt/conda/bin:$PATH
export LANG=C.UTF-8 
export LC_ALL=C.UTF-8

Install some packages with apt-get :

apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates python3 libglib2.0-0 libxext6 libsm6 libxrender1 git 

Download and install miniconda :

wget --quiet https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
    /bin/bash ~/miniconda.sh -b -p /opt/conda && \
    rm ~/miniconda.sh && \
    ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
    echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
    echo "conda activate base" >> ~/.bashrc

Add a repository to conda :

conda config --append channels conda-forge

Install conda packages :

conda install -y julia jupyter mxnet numpy tensorflow pip python=3 

Initialize jupyter notebook :

jupyter notebook --generate-config

Initialize julia :

echo 'Pkg.add("IJulia")' > juliainstall.sh && echo 'Pkg.build("IJulia")' >> juliainstall.sh && julia juliainstall.sh 

Finally, run jupyter notebook :

/opt/conda/bin/jupyter notebook --port=8888 --allow-root --notebook-dir='/opt/src'  --no-browser --ip=0.0.0.0

Have a nice day with open source ..