blas

gonum also has LAPACK bindings godoc.org/github.com/gonum/lapack/cgo Assuming you need float64, BLAS and LAPACK are most easily accessed through the wrapper packages godoc.org/github.com/gonum/blas/blas64 and godoc.org/github.com/gonum/lapack/lapack64. This way code can be written to either use the native go implementations or the assembly/c/fortran ones.

Everything I used to use Python for, I can do faster in Go. The notable exception to this is statistical analysis, as Go does not have any FORTRAN bindings, whereas Python does (through Numpy & co.). golang does have BLAS bindings through gonum: https://godoc.org/github.com/gonum/blas/cgo Coming back to the main question. I use Go as my primary language these days. E.g., my dependency parser and neural net dependency parser (which uses the aforementioned BLAS binding) are written in Go: https://github.com/danieldk/dpar https://github.com/danieldk/dparnn What I like about Go: it's C-like without the unsafety of C nor the complexity of C++. Moreover, I've found that working in Go is generally as productive as Python (short compile times, good tooling, completion in vim, lightweight package system), while being much faster and better-fit for

As of at least a year ago, their are bindings for the BLAS library of your choice (github.com/gonum/blas), which are used in many parts of the matrix package (github.com/gonum/matrix/mat64). As of a week ago, there are bindings for the Lapack implementation of your choice (github.com/gonum/lapack). These have not yet been worked in with matrix, but will be eventually (PR welcome!).

http://godoc.org/github.com/gonum/matrix/mat64 https://github.com/gonum/blas I don't know how mature they are though.