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.

Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs.

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

The trick is that, when using the Python kernel, you can use a ! to execute shell commands and a %% to specify that a particular cell lives in a file. So consider this notebook from Google Collab: ...

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.

Jupyter Notebook combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser ...