"Gregory P. Smith" <greg@krypto.org> wrote:
> What this means for subinterpreters in this case is not much different from
> starting up multiple worker processes: You need to start them up and wait
> for them to be ready to serve, then reuse them as long as feasible before
> recycling them to start up a new one. The startup cost is high.
The statup cost for worker processes is high on Windows. It is very small
on nearly any other OS.
While I understand that Windows adds some overhead there, startup time for Python worker processes is high on all OSes.
Python startup is slow in general. It slows down further based on the modules you must import before you can begin work.
-gps