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Friday, May 31
Democratizing Data Science with Workflows
Fri, May 31, 3:40 PM - 5:15 PM
Regency Ballroom C

When Should You Add Github, Make and Docker to Your Data Science Workflow? (305104)

*Tiffany Timbers, University of British Columbia 

Keywords: workflow, data science, reproducibility

Without deliberate and conscious effort towards organization, tool choice, and process, complex and large data science projects can quickly grow out-of-hand and become irreproducible. This talk will discuss when and why one should add tools such as GitHub, Make and Docker to their data science workflow to mitigate chaos and maximize transparency, reproducibility, and productivity.