Why not always use psyco for Python code?

Question

psyco seems to be quite helpful in optimizing Python code, and it does it in a very non-intrusive way.

Therefore, one has to wonder. Assuming you\'re always on a x8

Answer 1

One should never rely on some magic bullet to fix your problems. Using psyco to make a slow program faster is usually not necessary. Bad algorithms can be rewritten, and parts that require speed could be written in another language. Of course, your question asks why we don't use it for the speed boost anyways, and there's a bit of overhead when you use psyco. Psyco uses memory, and those two lines just sorta feel like overhead when you look at them. As for my personal reason on why I don't use psyco, it's because it doesn't support x86_64, which I see as the new up and coming architecture (especially with 2038 approaching sooner or later). My alternative is pypy, but I'm not entirely fond of that either.