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 Teamは、ブラウザでPythonなどを実行できるインタラクティブな実行環境Jupyter Notebook最新版「Jupyter Notebook 7」のリリースを 公式ブログ で発表 ...

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.

"A hands-on session and guided tutorial for advanced users to explore how to use the EO4SD CR platform Jupyter Notebook, including how to access EO data, conduct analyses and extract data time series.