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.

IDEs and code editors are your best friends when you want to write, modify, and execute your self-written programs. But in the vast ecosystem of coding apps, Jupyter Notebook stands out with its ...

You're wondering what tools are out there or what you're missing. There are thousands, but if you're new to the subject, it's ...

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 ...

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 ...

In the regular monthly update to Python tooling for Visual Studio Code, Microsoft announced an improved setup experience for Jupyter notebooks, along with new inlay type hints for the Pylance language ...