@smitty Well, at first I suggest that you try what is working in [linalg](https://github.com/unicredit/linear-algebra) and let me know what you don't like or what is not clear in the documentation (I know, they should be expanded and there should be a tutorial as well). :)
>From there, there are a lot of things to do. A few of them are documented in >the [TODO](https://github.com/unicredit/linear-algebra#todo), but here are >some others: * add support for complex linear algebra * add Fourier transform via FFTW Then one could build other things on top of linalg, probably in other packages - for instance * neural networks * clustering algorithms * regression algorithms and so on. Also, another thing may be to work out some statically typed analogue of dataframes, to have something like Pandas in the Nim world I will soon be on holidays until about mid September, but I'd be happy to give any help about the internals of the library
