Jonathon Goodwin and I continue to work on our topic model analysis of folklore studies (through the lens of research articles published in three of its journals available on JSTOR). I would like to visualize the relationships, the correlations, of 8 of the topics involved. JG is working on it, and will, no doubt, have a solution long before I do, but I also wanted to try my hand — or at least begin to figure out what I could do, and I came across several useful Pythonic posts along the way:
* [7 Python libraries you should know about](http://doda.co/7-python-libraries-you-should-know-about) includes a better way to work with XML, fuzzy matching, and parsing dates.
* [NetworkX](http://networkx.lanl.gov) is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. (It’s conveniently available via MacPorts: `port search networkx` will list all the available flavors.)