As a data scientist, I used to work with Jupyter Notebook on a daily basis. Therefore, one of the first things I do when I need to set up my personal environment on a new remote server (e.g., EC2 instance) is to install and configure Jupyter Notebook. The motivation to do so is that now I can use a (strong) remote server as a backend to my Python code (written in a Jupyter Notebook environment).
In this blog, I will describe the most basic and mandatory steps toward establishing a working Jupyter Notebook environment quickly and easily.
First of all, install the Jupyter package on your remote server.
pip install jupyter
#python #aws #jupyter-notebook #ec2