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 ...

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 ...

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, ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

With the maturation of the open-source, cross-platform .NET Core initiative, Microsoft has been upping its data science analysis tooling lately, previewing .NET Core with Jupyter Notebooks ...

A computer code co-developed by a scientist from Lawrence Berkeley National Laboratory (Berkeley Lab) and embraced by the global science community over two decades has been hailed by Nature Magazine ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

SAN FRANCISCO--(BUSINESS WIRE)--CoderPad today announced it has added support for four types of Jupyter Notebook, Minimal, R, Tensor Flow, SciPy, to further its work on bringing more real-world ...

Hugh Brock is director of engineering at Red Hat, leading Red Hat's university research effort for the Office of the CTO. Imagine being a computer science student taking a database class: You sit down ...