Python-Driven Work Flow in Experimental Data Analysis
Working in a laboratory, I spend some good time on analyzing data acquired from various apparatus in the course of my daily routine. To drive the circle of workflow comprising experimental design, implementation and analysis efficiently, it is beneficial and advisable to get as much as information from data in limited time. It would be awful if one missed fantastic experimental ideas due to a lack of knowledge and understanding in existing data. In general, this requires practical thoughts and technique improvements in preparing data (pre-processing) and visualizing data (plotting). On one hand, I developed this tool box for my personal use and take it as an experimental attempt to improve the workflow for a laboratory researcher in a data-rich disciplinary, like physics and biology. On the other hand, I hope it, as an open-source project, can also encourage and inspire interested researchers to integrate a bit Python into their workflow for personalized purposes. ...