On Thursday, October 10, 2013 11:01:25 PM UTC-7, Peter Cacioppi wrote:
> Could someone give me a brief thumbnail sketch of the difference between 
> multi-threaded programming in Java.
> 
> 
> 
> I have a fairly sophisticated algorithm that I developed as both a single 
> threaded and multi-threaded Java application. The multi-threading port was 
> fairly simple, partly because Java has a rich library of thread safe data 
> structures (Atomic Integer, Blocking Queue, Priority Blocking Queue, etc). 
> 
> 
> 
> There is quite a significant performance improvement when multithreading here.
> 
> 
> 
> I'd like to port the project to Python, partly because Python is a better 
> language (IMHO) and partly because Python plays well with Amazon Web 
> Services. 
> 
> 
> 
> But I'm a little leery that things like the Global Interpret Lock will block 
> the multithreading efficiency, or that a relative lack of concurrent off the 
> shelf data structures will make things much harder.
> 
> 
> 
> Any advice much appreciated. Thanks.

"Sounds like Python will serve you just fine! Check out the threading
module, knock together a quick test, and spin it up!"

Thanks, that was my assessment as well, just wanted a double check. At the time 
of posting I was mentally blocked on how to set up a quick proof of concept, 
but of course writing the post cleared that up ;)

Along with "batteries included" and "we're all adults", I think Python needs a 
pithy phrase summarizing how well thought out it is. That is to say, the major 
design decisions were all carefully considered, and as a result things that 
might appear to be problematic are actually not barriers in practice. My 
suggestion for this phrase is "Guido was here". 

So in this case, I thought the GIL would be a fly in the ointment, but on 
reflection it turned out not to be the case. Guido was here.

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