Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

One of the core components of Python's data-science story is Jupyter notebooks, a tool that supports not just Python, but other popular data-science languages such as Julia and R.

A new offering from the creator of a Python distribution for data science uses Microsoft Excel as a front end for Jupyter notebooks and other data-centric apps ...

To start Jupyter at the Linux shell, type: jupyter notebook If it doesn't open automatically, try opening your browser to ...

Jupyter Notebook benefits Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: ...

Jupyter notebooks break out of their "show and tell" role into something more suitable to data engineers. Can JupyterLab turn notebooks into an Enterprise tool?

We’ve been hearing for years about the data science skills gap, but what’s the real issue behind the talent shortage?

In this RCE Podcast, Brock Palen and Jeff Squyres discuss Jupyter with Dr. Brian Granger from Cal Poly State University. "Jupyter is a non-profit, open-source project, born out of the IPython Project ...

Bloomberg has contributed back to other open source projects, too, including the Jupyter data science notebook, which is central to its Python data science initiatives.

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.