Jupyter Notebook use cases. The most common use cases for Jupyter Notebook are data science, mathematics, and other research projects that involve visualizations of data or formulas.

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

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 ...

Jupyter Notebook is an open source web environment for data visualization. The modular software is used to model data in data science, computing, and machine learning.

Earlier this month, Microsoft announced the public preview of .NET Core support to Jupyter Notebooks, allowing the use of code written in C# and F#. This release is part of the Try .NET project, an in ...

A 2019 study found that just 24% of 863,878 publicly available Jupyter notebooks on GitHub could be successfully re-executed, and only 4% produced the same results (J. F. Pimentel et al. in 2019 ...

Now, upon opening a Jupyter notebook in VS Code, developers will see an "install suggested extensions" entry when trying to run a cell or select a kernel. Abud said this greatly reduces the number of ...

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 ...