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

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

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 ...

In this SpotlightON podcast, Robert Stober from Bright Computing and Adnan Khaleel from Dell Technologies discuss the Bright Jupyter integration. Jupyter is a free, open-source, interactive web tool ...

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 ...

In this RCE Podcast, Brock Palen and Jeff Squyres discuss Project Jupyter with Dr. Brian Granger from Cal Poly State University. Jupyter exists to develop open-source software, open-standards, and ...

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 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 ...

An assistant professor of computing science at the U of A’s Augustana campus has successfully identified common bugs in ...