Creating Reproducible Data Science Workflows using Docker Containers
Channel: Next Day Video
Date: 01/08/2017

Aly Sivji

http://pyohio.org/schedule/presentation/303/

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.

PyOhio is a free (thanks sponsors!) annual conference for Python programmers in and around Ohio and the entire Midwest.

http://pyohio.org/