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 ...

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 ...

We recommend installing Python using Anaconda, which additionally provides easy access to a wealth of python libraries and tools. Python can be downloaded or all operating systems. We recommend that ...

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...

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 ...

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.

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 ...

Jupyter may have had its beginnings in enterprise data problems but some in the high performance computing community has been adopting it as the prime platform for both data science and AI at massive ...