Data science is a research-heavy discipline concerned with staying on the cusp of technological advances. Scientists rapidly experiment with cutting-edge techniques and approaches, often coding in highly interactive, but highly unstructured, mediums like Jupyter notebooks. How can a team integrate this experimental scripting and model handoff into a stable, defendable product?
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