Practical Data Science with Python 3: Synthesizing Actionable Insights from Data

© Ervin Varga 2019

E. Varga Practical Data Science with Python 3https://doi.org/10.1007/978-1-4842-4859-1_4

4. Documenting Your Work

Ervin Varga¹ 

(1)

Kikinda, Serbia

 

Data science and scientific computing are human-centered, collaborative endeavors that gather teams of experts covering multiple domains. You will rarely perform any serious data analysis task alone. Therefore, efficient intra-team communication that ensures proper information exchange within a team is required. There is also a need to convey all details of an analysis to relevant external parties. Your team is part of a larger scientific community, so others must be able to easily validate and verify your team’s findings. Reproducibility of an analysis is as important as the result ...