Why not always use psyco for Python code?

1) The memory overhead is the main one, as described in other answers. You also pay the compilation cost, which can be prohibitive if you aren’t selective. From the user reference:

Compiling everything is often overkill for medium- or large-sized applications. The drawbacks of compiling too much are in the time spent compiling, plus the amount of memory that this process consumes. It is a subtle balance to keep.

2) Performance can actually be harmed by Psyco compilation. Again from the user guide (“known bugs” section):

There are also performance bugs: situations in which Psyco slows down the code instead of accelerating it. It is difficult to make a complete list of the possible reasons, but here are a few common ones:

  • The built-in map and filter functions must be avoided and replaced by list comprehension. For example, map(lambda x: x*x, lst) should be replaced by the more readable but more recent syntax [x*x for x in lst].
  • The compilation of regular expressions doesn’t seem to benefit from Psyco. (The execution of regular expressions is unaffected, since it is C code.) Don’t enable Psyco on this module; if necessary, disable it explicitely, e.g. by calling psyco.cannotcompile(re.compile).

3) Finally, there are some relatively obscure situations where using Psyco will actually introduce bugs. Some of them are listed here.

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