Your idea - completely rewritten

I saw your post in a Twitter Timeline, remembered how awesome IPython is for interactive programming and followed the question how you acquired your data that made up your Blog post headline.

Since I always wanted to get more experience with REST APIs I went today on a IPython notebook journey but I documented all challenges that required the code to be like it is now. It got much more pythonic and uses features from python libraries as much as possible.

I went for another (smarter) approach to compute the adoption of 'latex' in repositories. Actually I just show the total_count raises month by month. Computing the differences between month-by-month totals would yield the dataset that you talked about.

Since I have experience with visualization using IPython & pandas I also wanted to take the pandas-shortcut to a column bar. Awesome - could be a one liner.

I added a link to NBViewer service - it is just awesome. Thanks for inspiring me to use these tools again and to be remembered not to reinvent the wheel again.