Jupyter Notebooks have been widely-used in the ML community for nearly a decade as a way to help define models and data using an interactive Python language interface.

Hundreds of Jupyter Notebooks for the most popular AI use-cases. One click to run NGC Jupyter Notebooks on a Google Cloud Vertex AI Workbench. Automated setup with optimal configuration, preloaded ...

From there, learn about arguments and parameters, along with conditionals and nested conditionals. By the end of the course, you'll be able to create programs that prompt users for input and use ...

The Jupyter Notebook is a web application that allows editing and running notebook documents that contain programming codes, equations, graphical displays and explanatory contents via a web browser.

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.

When future users of the LSST use Jupyter notebooks to analyse their data, the code will be running on a supercomputer in Illinois, providing computational muscle no desktop PC could match ...

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 ...