Through work I have to deal with a pretty huge codebase, and run Pylint on it during our continuous integration process. It's always been a bit slow, but recently I also noticed that it was consuming a lot of memory, causing OOM failures if we tried to run it too much in parallel. I decided to roll up my sleeves and figure out: What exactly was consuming so much memory? Is there a way to avoid doing this? This is a log of how I went about these two questions, as future reference for when I do...
