Jupyter Notebook was created to make it easier to show one’s programming work, and to let others join in. Jupyter Notebook allows you to combine code, comments, multimedia, and visualizations in ...

The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

"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.

Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and ...

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.