Jupyter Notebook is an open source web environment for data visualization. The modular software is used to model data in data science, computing, and machine learning.

IDG. A Jupyter Notebook with text, code, and a visualization. Altering the code and re-running it live in the browser will change the output, and the new results can be saved to a new notebook.

Jupyter Lab, the latest web-based interface for Project Jupyter, the de facto standard of interactive environments for running ML experiments, is preinstalled in the VMs for easy access to Notebooks.

Azure Notebooks is not a full implementation of Jupyter Notebooks, but the subset that Microsoft offers is tailored to the tools in Azure’s analytics and machine learning platforms.

The notebooks come pre-packaged with support for the Azure Machine Learning Python SDK and run in what the company describes as a “secure, enterprise-ready environment.” ...

Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and ...

Web-based interactive development environment: Enables users to configure and arrange workflows in data science, machine learning, scientific computing and computational journalism (Figure C).

Machine learning and data science development isn’t exactly a walk in the park, but Netflix hopes to streamline the arduous bits with a new freely available platform.