Interactive notebooks: Sharing the code
The free IPython notebook makes data analysis easier to record, understand and reproduce.
05 November 2014
“In my own computational physics work,” says Granger, “a high-level description of the algorithm that goes into the paper is light years away from the details that are written in the code.
Without those details, there is no way that someone could reproduce it in a reasonable time scale.”
“We used to speak two different languages. I would talk about the biology and she would talk about coding.
Now we have common ground; we can communicate to each other better. This accelerates our research”