Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

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 ...

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

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 ...

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, ...

If you spend a lot of time working with numbers, you might have tried several apps and programs to process data, only to realize that Microsoft Excel is the undisputed king. There are lots of factors ...

Ever notice in soccer when a midfielder runs his or her legs off to get the ball to a striker who then taps it into the net and gets all the glory? Charlie Berger wants to help database administrators ...