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 ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Artificial intelligence startup DataRobot Inc. today announced the availability of a new feature called DataRobot Notebooks, a fully integrated notebooks solution within the DataRobot AI platform. The ...

Anaconda today announced support for Snowflake Notebooks, an interactive, cell-based data science notebook similar to Jupyter. The move will let data scientists, data analysts, and data engineers ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Deepnote, a collaborative data science notebook, announced today that it has raised $20 million in Series A funding. The round was co-led by Index Ventures and Accel, ...

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 ...

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 ...

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.

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.