Just finished building a content recommendation engine for MeFi using natural language processing and non-negative matrix factorization techniques! It produces a list of post recommendations based on a user history of posts, comments and favorites. It can also make recommendations based on a piece of text, so for example, you could paste a particular post and it will return a list of other posts that have some similar characteristics. I hope you enjoy playing around with it! Please let me know what you think. Here's more info in case you're interested (: https://github.com/tomasbielskis/metafilterpostrecommender
Using Python 2.7 and the Natural Language Toolkit, I created a program called Sonnetizer that generates 14-line rhyming sonnets in (mostly) iambic pentameter from any text corpus. Using Sonnetizer, I generated 10,000 unique sonnets from the sonnets of William Shakespeare, and compiled them into a PDF.