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Supercharging AI/ML Development with JupyterLab and Docker

1 year ago www.docker.com

Summary: This is a summary of an article originally published by the source. Read the full original article here →

https://github.com/jupyterlab/jupyterlab is an open source application built around the concept of a computational notebook document. Compared to its predecessors, this version features a faster Web UI, improved editor performance, a new https://jupyterlab.readthedocs.io/en/latest/user/extensions.htmlr, and real-time collaboration.

Packaging JupyterLab in a container allows you to easily share your notebook environment with others, regardless of their operating system or setup.

On a Windows command prompt, execute the following command to launch a basic notebook: docker container run -it --rm -p 10000:8888 jupyter/base-notebook

This command will run a container using the jupyter/scipy-notebook image, which provides a Jupyter Notebook environment with additional scientific libraries.

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