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.” ...

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.

And because Jupyter Notebook runs via a web browser, the notebook itself could be hosted on your local machine or on a remote server.

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Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

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.

Among the Jupyter extensions is the ability to “decompose” different AI development tasks into different notebooks, allowing each to use different frameworks such as TensorFlow for deep learning ...

The dev team for Visual Studio Code improved Jupyter Notebook functionality and much else in the regular monthly update to the wildly popular, open source-based, cross-platform code editor.

Data scientists can now get code completions powered by Kite’s deep learning, which is trained on over 25 million open-source Python files, as they type in Jupyter notebooks.