How to Install Jupyter Notebook and Jupyter Lab

In this blog post, we will provide a comprehensive guide on installing jupyter notebook and jupyter lab on a rocky based operating system. Our setup revolves around a single node for the installation.

Let's start with a step-by-step process, starting from creating virtual machines on the Alces Cloud platform, followed by installation of jupyter lab and notebook.

Launch the Instance

All the steps to launch and connection to instance is provided in link.

Installation Steps

• First update package lists and install essential dependencies for jupyter lab and notebook.

  sudo dnf update
  sudo dnf install python3 python3-devel gcc libffi-devel openssl-devel
  

• Install Jupyter lab and notebook using pip:

  python3 -m pip install jupyter jupyterlab
  

• Verification can be done using below command.

  jupyter notebook --version
  jupyter lab --version 
  

Launching Jupyter Notebook:

• Once the installation is complete launching Jupyter Notebook, open a terminal in the directory you want to use as your working space Start Jupyter Notebook with the command:

  jupyter notebook
  

This will launch a web interface (usually at http://localhost:8888/) where you can create and manage Jupyter notebooks.

jupyter notebook --no-browser --ip='*' --port 8080

Launching JupyterLab:

• Once the installation is complete launching Jupyter Notebook, open a terminal in the directory you want to use as your working space Start Jupyter Notebook with the command:

  jupyter lab
  

  A web interface (often at http://localhost:8888/lab) will open, providing a more advanced environment for data science exploration.

jupyter lab --no-browser --ip='*' --port 8080