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.

I use jupyter Notebook for technical conceptual calculations, including minimal documentation for later, prototyping image recognition, scientific calculations, condensing/comparing simulation ...

Jupyter Notebooks are where data science starts — and now that they are included as part of Civis Platform, that exploration is only the beginning. As a product manager for Civis Platform, I pay ...

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 ...

Coding productivity JupyterLab is a superset of Jupyter itself. As such, anything you can do in a Jupyter notebook, you can do in JupyterLab. But you can do a bunch more.

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free.

A Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting Physics projects. A Notebook integrates code and its output into a single document that combines ...

Honestly, if you really want a Jupyter Notebook, C might not be your best choice for a kernel. But it is a choice, and sometimes, you really need to use some odd language from the kernel list ...

This is the Notebook Dashboard, specifically designed for managing your Jupyter Notebooks. Think of it as the launchpad for exploring, editing and creating your notebooks. Be aware that the dashboard ...