There's nothing quite like running Python code on your self-hosted Jupyter Notebook server ...

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.

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: Data visualizations.

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.

For data scientists, Python integration with Jupyter Notebooks now enables users to create and share documents that contain live code, equations, visualizations and explanatory text.