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Neurodivergent devs: what languages actually *click* for your brain?

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    @julian @deborahh I am not sure! I believe lepointdevente.com uses their own in-house solution.
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    Commitin programming crimes }:->Few weeks ago I seriously looked to the mine OpenHAB installation and asked a question for myself: "Am I really need it?" Look, I have a few ZigBee devices, which are connected to the my server with the help of ZigBee2MQTT. Thusly, all necessary values and knobs are accessible through the MQTT topics.And I'm using the OpenHAB (big Java application which eats ton's of RAM and constantly swapping) just to:1) Read values from MQTT topic2) Read weather forecast from Open-Meteo through simple REST API endpoints3) Store all the data to the PostgreSQL DB.4) Display these data in the nice Web page which works only in browsers with JS engine.So, basically, I trade tons of RAM and processing power just for a nice web-page with few indicators. While retrieving data from my ZigBee devices processed by the another service.After that thought, I started to think about replacing this monster with small hand-written program, which will not eat 700 MB of RAM. Just Nginx, small FastCGI script on C, which will read values from DB and display them on the simple HTML page. And another small daemon (also written in C) which will take data from MQTT topic (and from REST API of Open-Meteo) and will write them to the DB. And possibly some PGSQL procedures to analyze these data.At least I'll have fun #programming #C #smarthome #selfhosting
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    Python verso Rust: un futuro più sicuro per il linguaggio di programmazione📌 Link all'articolo : https://www.redhotcyber.com/post/python-verso-rust-un-futuro-piu-sicuro-per-il-linguaggio-di-programmazione/#redhotcyber #news #python #rust #cpython #sicurezzamemoria #rustbelt #programmazione #linguaggiodiprogrammazione #sviluppatore #cybersecurity #informatica #memoriasicura #sicurezzainformatica
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    cross-posted from: https://lemmy.dbzer0.com/post/55628224 I’ve been thinking about discovering underappreciated Lemmy instances. GitHub’s awesome-lemmy-instances used to serve a similar purpose, but it hasn’t been updated in a long time, and I haven’t found anything else like it. I got the idea from this post about finding decentralized communities in the Fediverse. I’m thinking of a Lemmy bot that tracks Lemmy instances, calculates the average number of active users and standard deviation, and identifies instances with activity below the average plus two standard deviations. It would then rank these underutilized instances by performance metrics like uptime and response time, and periodically update a curated list on Lemmy to guide users toward instances that could use more participation. I'd love feedback on how you would go about doing something like this. And specifically how to rank by performance.