Data scientists are explorers. They use Jupyter Notebooks, one of the most popular environments for data science analysis, to begin work toward creative solutions to big problems. But once those ...

Jupyter notebooks break out of their "show and tell" role into something more suitable to data engineers. Can JupyterLab turn notebooks into an Enterprise tool?

In this RCE Podcast, Brock Palen and Jeff Squyres discuss Jupyter with Dr. Brian Granger from Cal Poly State University. "Jupyter is a non-profit, open-source project, born out of the IPython Project ...

"Project Jupyter has become a cornerstone in the data science, AI, and research communities, enabling interactive computing for users around the world," said Jim Zemlin, executive director, the ...

"Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia ...

Jupyter Notebook benefits 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: ...

Nov. 11, 2019 — Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include data ...

Deepnote, the San Francisco software firm building a data science collaboration platform atop a Juypter notebook base, today announced it has raised $20 million in a Series A round. Deepnote was ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights.

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 ...