🇳🇱
@freemo @trinsec Based on my limited knowledge of python, the multithreading part is pretty heavy, if I recall correctly, you need a new python process to start a new thread (sounds familiar with JVM 
). And go is pretty good at multithreading (I mean user-mode threads). If not limited by the IO, I would assume a go implementation will speed up some of the process. Maybe also ease the load on developers, considering go offers some great built-in multithreading structures.
C-Python code itself does not multi-thread, except through multi-processing. (Jython is a Java python implementation that does multi-thread.)
HOWEVER, what is ultimately more efficient than multi-threading for pure python or most other interpreted code is co-routines. Remember those from Knuth's "Fundamental Algorithms"? Python has built-in support for very clean and efficient co-routines - key syntax is the "yield" statement. They work very well ad-hoc, and there are frameworks like the "twisted" library that provide consistent interaction between many parts.
The key limitation of co-routines is that other "threads" do not have a chance to run until the current code hits a "yield". This also means you don't need to bother with locks and stuff like with true multi-tasking, hence the efficiency for an interpreted language.
Another name for this is "cooperative multi-threading". It is harder to do in a language like C with linear stacks. Python stack frames are linked lists - and the resulting conceptual tangle of stack frames when hundreds of complex co-routine tasks cooperate gave rise to the name of the "twisted" library.
As a JVM lover, I am jealous of the ability to call C code directly from CPython.
And yes, coroutine is powerful. I'm using kotlin coroutines and it's a huge (free) improvement of Java's native thread.
@freemo co-routines can run on multiple threads, where the "tasks" can yield and the thread from a pool can switch to another "task" without suspension or something. At least kotlin coroutine can, and according to sdgathman, Python can do it too. That's the ultimate free boost you can get by just switching to another tech.
But if Python can do that, then my earlier hypothesis about switching to go will give your free boost is wrong
Agreed, while python's biggest shame-to-fame is its inability to leverage multiple cpus through multithreading (or coroutines).. the flip side is that it is so trivial to interact with C-code that it makes up for that in a unique way that has its own value.
IF you need a language where you need to do a lot in C but what the convience of high-level language where you can get away with it, python is great... if you need a high level language that is cpu-intensive and effecient and easy to write without wanting to touch C, then python is a horrible choice.
Me personally, I use python a lot (just finished a 2-year project in python)... but over the years have found it just isnt a suitable language for most things, because of these very reasons.
I find Jython in particular very handy for interacting with large mostly Java applications such as Adempiere (or Idempiere).
Yea my last project i tried moving to pypy for exactly that reason. It turned out i couldnt move because of some dependency problem or something... We had tons of people trying to figure out how to multi-cpu out application and it was one dead end after another and would have effectively required a rewrite.
