#rust is fast on its own, but data-oriented design really unlocks the full performance potential of working close to the metal.
hackeryarn
RE: https://mas.to/@jordangloor/115945489979308700
We need more diversity in the browser engine space. Servo looks like the most promising option out there. Amazing to see all the progress 🎉
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RE: https://mastodon.social/@hackeryarn/115811198077022156
It's become an article of faith that "async must be better" even when processes such as web-apps are not even close to being CPU bound.
These benchmarks of Django and FastAPI in various configurations tell a different story, it's interesting stuff.
As the conclusion says, async comes with a cognitive cost and if it's providing no benefit then it should be left alone.
@shearichard 🤦 It was a bad final edit. Thank you for pointing that out. I will get it fixed up, but you can find the code here https://codeberg.org/hackeryarn/django-bench
This is brilliant! Clean out all bloatware from your browser https://justthebrowser.com/
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And part 2 is up today!
hackeryarn boosted:
And now something positive:
solar and wind energy production in the EU surpasses fossil energy for the first time.
☀️ 💨
Source: https://dr.dk
This is an old article but does an amazing job of explaining the different kinds of event loops that underlie async systems https://tokio.rs/blog/2019-10-scheduler
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If you‘re bored and tired, just lay in bed with your laptop, and find out how to run a cross-compiler on #NixOS. The endless research will keep you busy, and the laptop will keep you warm as it compiles GCC and Musl from source.
#laptopheating
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Duckduckgo has a survey for pro/anti-AI and I cackled so hard at the (current) results
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Lamo. This shortener that makes your links look as suspicious as possible.
Normal links are too trustworthy. Make them creepy.
Every #terraform repo should include this provider https://github.com/MNThomson/terraform-provider-dominos
hackeryarn boosted:
Never used Instagram.
Creates an Instagram alternative.
Makes Forbes.
Never stop believin' 🚀
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Read the full benchmark break downs for the details https://hackeryarn.com/post/async-python-benchmarks/?utm_source=www.pythonweekly.com&utm_medium=newsletter&utm_campaign=python-weekly-issue-727-january-8-2026&_bhlid=f1603179d9e15bea9a5ee50f33721bb7ddc9eebe
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Once you introduce real world database operations most web framework comparisons become rounding errors. async isn't always the answer folks. #python #django
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A few days ago, a client’s data center (well, actually a server room) "vanished" overnight. My monitoring showed that all devices were unreachable. Not even the ISP routers responded, so I assumed a sudden connectivity drop. The strange part? Not even via 4G.
I then suspected a power failure, but the UPS should have sent an alert.
The office was closed for the holidays, but I contacted the IT manager anyway. He was home sick with a serious family issue, but he got moving.
To make a long story short: the company deals in gold and precious metals. They have an underground bunker with two-meter thick walls. They were targeted by a professional gang. They used a tactic seen in similar hits: they identify the main power line, tamper with it at night, and send a massive voltage spike through it.
The goal is to fry all alarm and surveillance systems. Even if battery-backed, they rarely survive a surge like that. Thieves count on the fact that during holidays, owners are away and fried systems can't send alerts. Monitoring companies often have reduced staff and might not notice the "silence" immediately.
That is exactly what happened here. But there is a "but": they didn't account for my Uptime Kuma instance monitoring their MikroTik router, installed just weeks ago. Since it is an external check, it flagged the lack of response from all IPs without needing an internal alert to be triggered from the inside.
The team rushed to the site and found the mess. Luckily, they found an emergency electrical crew to bypass the damage and restore the cameras and alarms. They swapped the fried server UPS with a spare and everything came back up.
The police warned that the chances of the crew returning the next night to "finish" the job were high, though seeing the systems back online would likely make them move on. They also warned that thieves sometimes break in just to destroy servers to wipe any video evidence.
Nothing happened in the end. But in the meantime, I had to sync all their data off-site (thankfully they have dual 1Gbps FTTH), set up an emergency cluster, and ensure everything was redundant.
Never rely only on internal monitoring. Never.
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Working with Data in Python: A Clean Dataset, the Wrong Conclusion
The dataset looked perfect—no missing values, clean types, tidy tables.
The conclusion was still wrong because of silent issues: leakage, bad joins, wrong aggregation level, and “clean” outliers.
This post shows the traps and how to catch them in Python.
#Python #DataScience #DataAnalysis #Data
@chartrdaily @pythonclcoding @theartificialintelligence @programming @towardsdatascience
@sudonem I am down to about 12 but I was at around 60-80 before. After using Helix, it made me re-think what I need to make a good editor config. With LSP and treesitter fully configured, I realized I don’t need much else.
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst