I spent quite some time coding, both fiddling with backports or autotools, as well as working on the contribution stats gathering. There are some first results with SQLite, more to come next week.
The query in the picture shows which files in the cpython repo are changed the most. Perhaps surprisingly, the deepest core of the interpreter, the eval loop, seems to be touched by the most GitHub pull requests.