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Traditionally, notebooks were used to record work and replicate findings, simply by re-running the notebook on the source data. This helps a data scientist record the process of thinking while designing the process of research. Notebooks illustrates the analysis process step-by-step manner by arranging the stuff like text, code, images, output, etc.

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