You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

Jupyter Notebook lets you author visualizations, but also share them and allow interactive changes to the shared code and data set. Code sharing.

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 ...

While Jupyter Notebook allows users to share their content with trusted contacts, access to the app is secured through account credentials or tokens.

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 ...

Data scientists are explorers. They use Jupyter Notebooks, one of the most popular environments for data science analysis, to begin work toward creative solutions to big problems. But once those ...

"A hands-on session and guided tutorial for advanced users to explore how to use the EO4SD CR platform Jupyter Notebook, including how to access EO data, conduct analyses and extract data time series.