Amazon Web Services Inc.’s newest open-source project is Graph Notebook, a tool that enables data scientists to analyze and visualize information that their companies store in graph databases. Graph ...

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 ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

In this video, researchers describe how the Jupyter notebook has become one of the tools of choice for the data science and high-performance computing communities. “This webinar will provide an ...

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 ...

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 ...

Our digital world is so much more interactive than the paper one it has been replacing. That becomes very obvious in the features of Jupyter Notebooks. The point is to make your data beautiful, ...