Notebooks have become an essential component of cloud-based AI research and analysis, so data scientists and developers should know how to use them if they deploy machine learning models on AWS.

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

Gemini Notebook, previously called NotebookLM, is a platform that integrates research, organization and content creation into a cohesive workflow. Paul Lipsky outlines its core structure, which ...