For the every day when I want to make embarrassingly parallel operations in Python go fast I find joblib to be a pretty good solution. It doesn't work for everything, but it's quick and simple where it does work.
Parallel Python (PP) seems to have a clunkier API, but also more functionality. I think the biggest advantage is that it can distribute jobs over a cluster instead of just different cores on the same machine. I might look into PP if I need to do things on a cluster, but I think I'll still stick with joblib when I'm on one machine.
That's just my first impression. I'd be interested to read your blog post.