Philipp :emacs: :nixos: / is on Nostr

Open Source, emacs, Linux, Nix/NixOS, Haskell and related languages. Working in research

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2024-05-02 09:06:11

I'm pretty much an #ops n00b, so maybe somebody can give me pointers: I'd like to collect "statistics" on certain things, from various sources. These are just (time, number) pairs with a name (say "fluid flow rate" or "number of jobs running"). What infra do I set up (...with #nixos)? I suppose timescale/influx for storing the data? And for ingesting it from my applications and services? Should be easy to implement, like a small HTTP request to post a number.

2024-04-08 08:22:27

There was this website to check if a GitHub #nixpkgs merge request is in the unstable (or whatever) channel yet. Can anyone point me to it? #nix

2024-02-14 13:28:24

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@npub16mt…pnwy I'm not a Rust programmer (yet). But I wouldn't put both typed/safe/multiprocessing capable and "non-interactive" in one pot. #haskell's GHC does have a repl, for example.
But I definitely see your point about #python having a niche with data analysis. I recently tried to convert some simple array-based code from numpy to Haskell. Didn't go well and didn't feel nice.

2024-02-14 10:35:44

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@npub16mt…pnwy wow, that's your second quintessential Python problem in 24 hours. 😀

2024-01-03 15:23:44

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@npub1fzx…t6h3 interesting choice! What led you to that?

2023-12-06 16:58:12

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@npub16mt…pnwy reserve, hm. Didn't even know about that!

2023-12-06 15:44:41

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@npub16mt…pnwy ran into the same trouble and wondered if there is a filesystem level way to resolve this. I mean, you could "dd" a gigabyte of crap into /nix as a proverbial strawman I guess.

2023-11-26 21:07:35

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@npub16mt…pnwy is it just that you personally like Rust, or is there a concrete problem in fish that might be solved using it?

2023-08-11 18:57:39

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@npub1g07…sh3v @npub1324…w05r you can choose to follow rolling release (nixos-unstable) or a bi-yearly release model. Or use specific packages from unstable and be stable otherwise. Packages in unstable are very recent.