Data Science for Startups: Containers

One of the skills that is becoming more in demand for data scientists is the ability to reproduce analyses. Having code and scripts that only work on your machine is no longer sustainable. You need to be able to share your work and have other teams be able to repeat your results. This blog post is about encouraging the reuse of analyses via containers, which means that your work can transfer.


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