[isofruit]

Disclaimer: I have not written a single line of C/C++ in my life, nim was the first language that exposed me to lower level concepts essentially.

I have a webpage-backend life in it, re-coded a very CRUD-heavy and medium-sized Django project in nim for funsies. You do notice that the ecosystem is not mature. You may have read another comment on here earlier that libs often are not fully featured or have clunky APIs. ORMs in particular are an area where you'll find a lot of teething issues. I found myself contributing to said libs in order to fix some of that, adding another lib to deal with connection pooling for me while I was at it.

Overall though, the coding experience has been intensely enjoyable and fun for me, which is why I kept going. Pushing logic to compile time is trivial, you don't even really need the macro system to do that since there's a pragma for that, and voila, suddenly you are able to have compile-time evaluation on whether you're trying to query a Many-To-Many relationship in your database correctly, guaranteeing you that you won't face those issues ever at runtime. I love this.

And all of this was without me having done any kind of deep dive into the macro system, I was mostly using generics, templates and compile-time-procedures (which are normal procedures, but annotated with the compile-time-pragma). And said macro-system from what I've seen opens up a whole new world of possibilities.

Another fun tidbit is that python interop is effortless, in both ways, thanks to numpy. As in, it is effortless to use python libraries, as it is effortless to make python use a library written and compiled in nim.

Edit: Deployment with docker needed some figuring out first, but wasn't hard by any means. Could use more documentation though, which I'll likely add.