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 ...

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 is an open-source platform that supports interactive computing and provides an environment for creating and sharing documents that contain live code, equations, visualizations, and narrative ...

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 ...