Today there is a mass of new software packages and repositories arriving on the scene that has made the data science process more interactive, nuanced, and user-driven than ever before. For evidence of this, just check the Towards Data Science homepage on any given day. In the face of this new wave of choices, it is important to understand the basic structure of development pipelines.
Data Scientists have become newly minted developers in their own right. In becoming developers, it is useful to understand development principles that software engineers use to iteratively test, construct and shape their deployed code.