Creating Reproducible Data Science Workflows Using Docker Containers

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Up your Bus Number - A Reproducible Data Science Workflow - Kjell Wooding, Amy Wooding

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Aly Sivji, Joe Jasinski, tathagata dasgupta (t) - Docker for Data Science - PyCon 2018

Dexy and Docker for Scientific Reproducibility | SciPy 2015 | Ana Nelson

Andreas Dewes - Analyzing Data with Python & Docker

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Last Updated: September 27, 2026

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Aly Sivji pyohio.org/schedule/presentation/303/ Jupyter notebooks Containerization technologies such as Richard Ackon 2018.za.pycon.org/talks/48- PyData 2018 How fragile is your Being able to explain your own code a few months after you wrote it is hard. Imagine having to explain the decisions of some AI ... Speaker: We're holding a DataLearn on how to Want to eliminate the hassle of inconsistent programming environments Speakers: Aly Sivji, Joe Jasinski, tathagata dasgupta (t) Jupyter notebooks simplify the process of Resources: drive.google.com/drive/folders/1iOPQPOGvrvDD4SZYNTTpeALUWzMJVObV?usp=sharing Additional ...

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