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Forget package management for a moment;  we can figure it out if we need 
to.  The question is "Why Go" which I've pondered for a while.


If you need to write a multithreaded app, Python's GIL makes it very 
hard to do.  It is one reason why I pushed for HTTPD as the Keystone 
front end.

Python has long held the option to optimize to native as the way to deal 
with performance sensitive segments.

The question, then, is what language are you going to use to write that 
perf sensitive native code?

To date, there have been two realistic options, Straight C and C++. For 
numeric algorithms, there is a large body written in Fortran that are 
often pulled over for scientific operations.  The rest have been largely 
one-offs.

Go and Rust are interesting in that they are both native, as opposed to 
runtime compiled languages like Java and Python.  That makes them 
candidates for writing this kind of performance code.

Rust is not there yet.  I like it, but it is tricky to learn, and the 
packaging and distribution is still getting in place.

Go has been more aggressively integrated into the larger community. 
Probably the most notable and relevant for our world is the Kubernetes 
push toward Go.

In the cosmic scheme of things, I see Go taking on C++ as the "native 
but organized" language, as contrasted with C which is native but purely 
procedural, and thus requires a lot more work to avoid security and 
project scale issues.

So, I can see the desire to not start supporting C++, and to jump right 
to Go.  I think it is a reasonable language to investigate for this type 
of coding, but committing to it is less obvious than Javascript was:  
with Javascript, there is no alternative for dynamic web apps, and for 
native, there are several.

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