Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: Data visualizations.

Jupyter Notebook is very similar to R Markdown in that you can use a statistical programming language to take care of web related coding that usually takes the form of html, CSS, etc. Shown above is ...

TOOLBOX 30 October 2018 Why Jupyter is data scientists’ computational notebook of choice An improved architecture and enthusiastic user base are driving uptake of the open-source web tool.