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 ...

If you've ever worked with code in your professional life, then you've probably faced the challenge of explaining and sharing very complex concepts to other people. Often, the explanations are not ...

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 ...

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

Data teams everywhere can now use Deepnote 1.0 to make data science and analytics work more collaborative. In minutes, data teams can spin up a Deepnote Workspace, run analysis by connecting to their ...

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, ...

A wealth of information hides in the vast amount of data produced every day—roadside sensors measuring traffic volume, medical imaging for rapid diagnosis, and satellites circling overhead analyzing ...