u/kernel-236

Hey everyone,

I recently finished my first rice, at least the core of it. It’s been a great learning experience that forced me to understand the graphical stack much better and how all the pieces fit together.
In the meantime, knowing about Hyprland’s upcoming migration from its proprietary config format to Lua, I started studying the language a few weeks ago. I’ve covered the basics: syntax, tables (and how to use them for data structures), metatables and metamethods and a bit of how C API binding works. Nothing advanced, but enough to feel ready for something practical.
My goal now is to start converting my configs before it becomes mandatory.

I’d love to hear from anyone who’s already started the migration or knows Lua well in similar contexts:
Any common mistakes when translating declarative configs into Lua?
Is it worth modularizing with require from the start, or keep it all in one file initially?
Any patterns or conventions you found useful (e.g. clean keybind management, handling multiple monitors)?
Resources beyond the official docs?

Thanks in advance for any feedback and suggestion!​

Hi everyone,

I wanted to open a discussion about how people here structure their R projects for clinical/research analyses, especially for prospective and retrospective studies.

In my last project I started using the {targets} package (tar_make(), pipelines, dependency tracking, reproducibility, etc) and honestly it was probably the cleanest project architecture I've ever had. It made the workflow much easier to maintain and rerun without manually tracking which scripts depended on others.

With this package, I really liked the idea of treating the analysis as a pipeline rather than a collection of disconnected scripts.

Now I'm curious how other people here organize their projects: Do you have a personal framework/template you reuse? How do you avoid "script spaghetti" as project grow?

Would love to hear how more experienced users structure their workflow and what practices ended up scaling well over time