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# [Main Menu](index.html)

1. Create and login as a new sudo user

sudo useradd -m -s /bin/bash -G sudo jupyter
sudo passwd jupyter

su - jupyter

2. Installation of NodeJS and NPM

sudo apt-get install -y fuse lvm2 vim plocate curl openssh-server dirmngr gnupg apt-transport-https ca-certificates software-properties-common r-base build-essential libgl1-mesa-glx libegl1-mesa libxrandr2 libxrandr2 libxss1 libxcursor1 libxcomposite1 libasound2 libxi6 libxtst6 gconf-service libasound2 libatk1.0-0 libc6 libcairo2 libcups2 libdbus-1-3 libexpat1 libfontconfig1 libgcc1 libgconf-2-4 libgdk-pixbuf2.0-0 libglib2.0-0 libgtk-3-0 libnspr4 libpango-1.0-0 libpangocairo-1.0-0 libstdc++6 libx11-6 libx11-xcb1 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxext6 libxfixes3 libxi6 libxrandr2 libxrender1 libxss1 libxtst6 ca-certificates fonts-liberation libappindicator1 libnss3 lsb-release xdg-utils

sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | sudo gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg


NODE_MAJOR=20
echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_$NODE_MAJOR.x nodistro main" | sudo tee /etc/apt/sources.list.d/nodesource.list


sudo apt-get update
sudo apt-get install nodejs -y


node -v   
npm -v

3. Installing Julia

wget https://julialang-s3.julialang.org/bin/linux/x64/1.8/julia-1.8.0-linux-x86_64.tar.gz
tar -xvzf julia-1.8.0-linux-x86_64.tar.gz
sudo cp -r julia-1.8.0 /opt/
sudo ln -s /opt/julia-1.8.0/bin/julia /usr/local/bin/Julia


julia  #to enter into julia interface.
exit   #to edit from julia

4. Installing Anaconda

sudo apt-get install libgl1-mesa-glx libegl1-mesa libxrandr2 libxrandr2 libxss1 libxcursor1 libxcomposite1 libasound2 libxi6 libxtst6 -y

sudo useradd -m -s /bin/bash -G sudo jupyter
sudo passwd jupyter
su - jupyter

wget https://repo.anaconda.com/archive/Anaconda3-2023.07-2-Linux-x86_64.sh

bash Anaconda3-2023.07-2-Linux-x86_64.sh
#Accept the terms and press Y button whenever asked.

source ~/.bashrc
conda config --set auto_activate_base false 

#Check the default Python version in the operating system
python3 -V

conda create --name jupyterHub python=<specifyPythonVersionFoundAbove>
    #conda create --name jupyterHub python=3.10 (example)
conda activate jupyterHub

5. Installing Jupyterlab, notebook, and JupyterHub using Conda

sudo  apt-get  install -y  wget texlive-xetex texlive-full texstudio texmaker texlive-latex-extra pandoc libffi-dev libssl-dev libxml2-dev libxslt1-dev libjpeg8-dev zlib1g-dev python3-pip openssl libssl-dev build-essential gnupg2 vim bash-completion

pip install --upgrade pip
conda install -c conda-forge jupyterlab jupyterhub -y
conda install notebook -y

pip install configurable-http-proxy #sudo npm install -g configurable-http-proxy (for backup)

6. Installing Pandoc and playwright for chromium

sudo apt-get install pandoc

conda config --add channels conda-forge
conda config --add channels microsoft
conda install playwright -y
playwright install  #playwright install chromium (backup command)

7. Creating configuration file for jupyter notebook

jupyterhub --generate-config -f ~/jupyterhub_config.py

sudo ln -s ~/anaconda3/envs/jupyterHub/bin/jupyter /usr/bin/jupyter

vi jupyterhub_config.py

Add the below provided lines. Change the ipaddress of the machine.

c.PAMAuthenticator.open_sessions = False
c.JupyterHub.bind_url = 'http://163.143.87.224:8000'   #REPLACE the IPADDRESS
c.Spawner.cmd = ['/home/jupyter/anaconda3/envs/jupyterHub/bin/jupyterhub-singleuser']
c.JupyterHub.hub_bind_url = 'http://127.0.0.1:8085'
c.JupyterHub.hub_port = 8082
c.ConfigurableHTTPProxy.command = '/home/jupyter/anaconda3/envs/jupyterHub/bin/configurable-http-proxy'  #'/usr/local/bin/configurable-http-proxy'
c.Spawner.cmd=["/home/jupyter/anaconda3/envs/jupyterHub/bin/jupyter-labhub"]

Save the above file and exit.

Open the ports:

sudo ufw allow 8000/tcp
sudo ufw reload

8. Checking the jupyterHub server

sudo chmod -R 755 .

sudo ls #enter the password

sudo ./anaconda3/envs/jupyterHub/bin/jupyterhub -f ./jupyterhub_config.py

Check whether server is working properly by accessing the jupyterHub in browser. If everything is working properly, close the jupyterHub program to install additional plugins.

9. Installing Plugins

pip install nbconvert pyppeteer
pyppeteer-install
pip install nbconvert[webpdf]

#Check whether anyone of the below command is working or not.
conda install -c conda-forge nbconvert-webpdf
conda install -c "conda-forge/label/broken" nbconvert-webpdf
conda install -c conda-forge nbconvert-webpdf

10. Setting up R-environment

Execute the following command on the terminal:

sudo R

Execute the following commands in the R-environment:

install.packages('IRkernel')
IRkernel::installspec(user = FALSE)     #As jupyterHub is installed in an Environment   
install.packages("devtools")            #This package is not mandatory, but suggested

Press Control+D and press n

conda install -c r r-irkernel  -y

11. Setting up Julia

Restart Jupyterhub, login, and start the terminal. In the terminal, type the following commands:

julia
import Pkg
Pkg.add("IJulia")

12. Installing Pytorch

su - jupyter
conda activate jupyterHub

#CPU version
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --user

#GPU version
pip3 install torch torchvision torchaudio

13. Upgrading all Python libraries in a (virtual) machine

pip --disable-pip-version-check list --outdated --format=json | python -c "import json, sys; print('\n'.join([x['name'] for x in json.load(sys.stdin)]))" | xargs -n1 pip install -U