IMHO, the biggest win of Go over anything Python is the single distributable.
You write once. Compile (or cross-compile) once. Distribute the binary. Job done.
Python you've got the hell of dependencies. Write your script once, but then users have to endure pip hell for the hundreds of libraries you've depended on. And then the potential different dependencies between different Python stuff.
Go is awesome for that and the Go stdlib has 80+% of what most people need.
You got me there. That is one of the things I keep asking Santa to bring me for Christmas. ;-)
I wish someone would come along with a competitive Go ML lib. That would be awesome with a capital A !
There are one or two niche libraries around for specific tasks (e.g. anomaly detection) but there's no broad-scope general ML library.
Sure, it's not as nice or compact as a single binary, but "you'll be lucky if you can run on any non-Ubuntu/RHEL system" is massively overblown.
I'd like to add that it just tends to not punch you in the balls. I originally picked it up trying to solve a simple web hook integration problem. I had a Python Flask app running which received a webhook, did some data transformation and did a POST to an API. After spending a whole morning pissing around trying to get uWSGI, systemd via ansible etc working I went for lunch. Came back, learned enough Go and had it working in a single binary with systemd unit before the end of the day without any 3rd party packages, server mechanisms, dependency management, futzing. It just worked. The same code has been moved into docker, then into kubernetes over the last few years with no change, no bugs and no headaches.