A week ago, Michael Barker wrote a use case for yielder, where he uses the yielding ability to implement “Mini-Axon”, the Kamaelia learning experience usually done in Python, where generators are a built-in feature of the language. I thought it was good to mention it here, to show how yielder can be used for more than just an easy way to implement iterators - for example, to yield results of processing requests as soon as they arrive at the processing box, in the case of Mini-Axon.
Also, if you have downloaded Yielder in the past, go and download the new version which sports two new main features, one of allowing hierarchies under the Yielder class (before, your implementation had to be a direct subclass) and the second is not using debugging information at all, making the tool work with any environment as it relies solely on the bytecode itself. (If you never downloaded yielder, what are you waiting for?)
