Creating Reproducible Data Science Workflows Using Docker Containers

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Reproducible Data Science with Machine Learning

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

Docker for Data Science: Reproducibility and Deployment - Hareem Naveed

DataLearn - Docker for reproducible research - DataKind SG

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

Andreas Dewes - Analyzing Data with Python & Docker

Managing Production & Reproducibility of Genomics Workflows with Docker

Using Docker Containers to Improve Reproducibility in PL/SE Research

Docker for Data Scientists - Simplify Your Workflow and Avoid Pitfalls | Jeff Fischer @ PyBay2018

Tutorials: Data Science Workflows using Docker Containers | Future of Data and AI | Conference

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

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Last Updated: September 28, 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- 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 ... PyData 2018 How fragile is your Speaker: We're holding a DataLearn on how to This talk was presented at PyBay2018 - the Bay Area Regional Python conference. See pybay.com for more details about PyBay ... Want to eliminate the hassle of inconsistent programming environments Speakers: Aly Sivji, Joe Jasinski, tathagata dasgupta (t) Jupyter notebooks simplify the process of

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