Hi everyone, I'd like to start a discussion on how to handle versions of dependencies. The current docs suggest that we require Numpy 1.4<http://scikits-image.org/docs/dev/install.html>, but at some point we'd probably want to increment this. In fact, I forgot that the dtype._convert pull request (PR #99) uses the function `promote_types` from numpy 1.6. (We need to either bump up the numpy version now or add a compatibility function.) In addition, we should add a minimum (optional) version of Matplotlib for use in examples (this has come up in a few PRs already). I run most of my scientific software from github, so I have no problem with running the bleeding edge, but this is certainly more difficult for others. How do other packages increment versions of dependencies? Best, -Tony