Data Science with Docker and Conda

Categories: coding
Soon after I started as a data scientist at an early stage startup I was tasked with helping productionalize and deploy analytical models as we ramped up more and more clients. The first few deploys were rushed, but relatively easy - just setup the root environment with all the dependencies, and have a simple bash script call the code on a schedule. Then as time went on things started to get messy.

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