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.

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

One click to run NGC Jupyter Notebooks on a Google Cloud Vertex AI Workbench. Automated setup with optimal configuration, preloaded dependencies, and ready-to-run Notebooks.