Science is a creative, iterative process.
With Authorea, we wish to make it even more so. This includes logging all the iterations as progress is made: modifications to code, experiments designed and run, analysis, and even the logical progressions that lead to conclusions. Imagine being able to follow along from data to implications to the deeper significance of an experiment and even an entire project. And imagine all the interesting and useful information and process in between… So many forks, so little time.

We will put up some interesting data sets, models, and IPython use cases over the next few weeks, along with d3.js uses. If you have your own interesting data or models, drop us a comment and we’ll get them up on the blog and subjected to the power of community effects. If you haven’t started playing around with IPython through Authorea, why not start right now?