Jython Optimizations

Are their any ways to optimize Jython without resort开发者_运维百科ing to profiling or significantly changing the code?

Specifically are there any flags that can be passed to the compiler, or code hints in tight loops.

No flags, no code hints. You can optimize by tweaking your code much as you would for any other Python implementation (hoisting, etc), but profiling helps by telling you where it's worth your while to expend such effort -- so, sure, you can optimize "without resorting to profiling" (and the code changes to do so may well be deemed to be not significant), but you're unlikely to guess right about where your time and energy are best spent, while profiling helps you determine exactly that.

Jython compiler does not offer lots of optimization choices. However, since the Java virtual machine (java) and perhaps compiler (javac) are getting invoked in the back end or at runtime, you should take a look at them.

Java has different runtime switches to use depending on whether you are going to launch it as a server process, client process, etc. You can also tell how much memory to allocate too.

I know this is an old question, but I'm just putting this for completeness.

You can use:-J-server flag to launch Jython in the Java server mode, which can help speed up the hot loops. (JVM will look to aggressively optimize, but might slow up the start up time)