Actually, yes! I picked up Go this week, and I'm actually really enjoying it. I did, however, hit a slight stumbling block because I needed to cryptographically sign some files to the PKCS#7 standard.
The 'usual suspects' have library support for this (Ruby, PHP, etc etc): Go does not (so I invoke openssl from within Go instead).
Putting that aside, it is a great language and one I'm really enjoying using. I primarily work in Objective-C, so it makes a nice change!
I suspect the 'usual suspects' just wrap OpenSSL, you can use Go bindings for OpenSSL too, but I'm also sure Adam Langley, who is responsible for the Go crypto lib and the main crypto guru for Chrome will be happy to help get any bits that you are currently missing into the go.crypto repo.
Hell, Go even has an official ssh library, I don't think any of the 'sual suspects' has that ;)
To be fair, I didn't actually expect Go to have it covered. I was porting over some Ruby code, and it just meant a little diversion via the OS/Exec package.
Honestly the project is only a few days old and really sucks, but I found wrapping OpenSSL's SHA and AES features trivial. cgo is the most awesome FFI I've ever used. SHA hashing is actually faster using the OpenSSL version.
Please feel free to fork and add your features, in the meantime I'm working on adding support for a TLS listener/connection like crypto/tls.{listener,Conn}. http://golang.org/src/pkg/crypto/tls/
I was very excited when I learned Go had standard library support for ASN.1 as I want to write a Go implementation of my companies ASN.1 protocol, but then I realized it was DER and not BER. I need a library that has good support for BER. That said there is a 3rd party BER 'asn1-ber' library that exists on Github, but I have not had time to explore it enough, and the description for the project says it is very basic; just enough for the LDAP protocol.
Machine learning, natural language processing, linear algebra. Extra points for bioinformatics-related stuff.
These are things that, obviously, aren't going to be on the top of a core dev team's priority list. They will come with time. But I can't do without them.
There are already libraries to do some of those things. There are for example several linear algebra libraries like gomatrix: http://code.google.com/p/gomatrix/
I don't know so much about bioinformatics, but I know some folks are using Go in that field without too much problem. Of course, the more specialized your needs, the greater the chances you might have to roll your own.
But given that Go 1 has hardly a few months old, this is not very surprising.
It is very early days (0.083 days to be exact) but I intend to support Hinton-style "deep learning" within the next few days.
I have a feeling that Go's concurrency features will make it a good fit for various ML workloads. And it's a rare combination of expressive and metal-close, which is good fit for prototyping crunchy algorithms.
