Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free. There are many ways to go ...

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 ...

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 ...

These are my go-to libraries for Python data crunching.

The August 2021 release of the Python Extension for Visual Studio Code completes a revamp of the Jupyter Notebooks experience that was started more than a year ago. That experience is said to be ...

Kite, which suggests code snippets for developers in real time, today debuted integration with JupyterLab and support for teams using JupyterHub. Data scientists can now get code completions powered ...

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.

The October 2021 update to Python in Visual Studio Code continues to boost notebook functionality, now adding the ability to debug Jupyter Notebooks. The whole Jupyter Notebooks experience was ...