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 Accel, ...

ARLINGTON, Va.--(BUSINESS WIRE)--Science Notebooks in Student-Centered Classrooms, a new guide published by NSTA Press, demonstrates how using science notebooks is good for both budding scientists and ...

Data science notebooks are an important tool used by data science professionals for experimentation and collaboration. These interactive notebooks allow users to write and execute code for exploratory ...

These days, the industry would have you believe that data and analytics is all being done in the service of AI. And, given that, there's a lot of orientation toward data scientists' seemingly favorite ...

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 ...

AI provider DataRobot is releasing DataRobot Notebooks, a fully integrated notebooks solution within the DataRobot AI platform that enables data scientists to collaborate across code-first workflows ...

Klemen Zupancic has launched a new project Kickstarter forum open source scientific notebook aptly named the sciNote which has been designed to help organise your scientific data both safely and ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Why are all of these companies using Jupyter? The biggest reason is that it just works.

In some countries, Europe, for example, an invention belongs to the first person to file a patent for it. In the United States, the conception determines ownership of an invention. In other words, an ...

Let’s say you’ve got a nice, digitized version of some scientific data, and you’ve already made reasonable choices about how close to the raw data you want to get in what you preserve. Better yet, you ...