Contribute Media
A thank you to everyone who makes this possible: Read More

Creating Reproducible Data Science Workflows using Docker Containers


Jupyter notebooks make it easy to create reproducible workflows that can be distributed across groups and organizations. This is a simple process provided that our end-users have access to the data along with a compatible Python environment. Learn how to use Docker to package a shareable image containing the libraries, code, and data required to reproduce every calculation.


Improve this page