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Introducing ZelixOS: A Modern, Fast, and Clean Linux Distribution
https://www.reddit.com/r/programming/comments/1p2r971/introducing_zelixos_a_modern_fast_and_clean_linux/

<!-- SC_OFF -->Hello everyone, I’d like to share a project I’ve been working on for some time now: ZelixOS, an Ubuntu Linux distribution designed to be fast, modern, and reliable for both new users and advanced Linux enthusiasts. ZelixOS is built on top of a stable Ubuntu LTS foundation, using the apt package manager, while providing a clean and optimized KDE Plasma desktop experience. Key Features 1. Clean and Modern KDE Plasma Experience
A minimal, polished, and responsive Plasma setup optimized for everyday use. 2. Improved Performance
Background services and startup processes are carefully optimized to reduce RAM usage and improve boot times. 3. Custom Zelix Applications
The system includes several tools developed specifically for ZelixOS: Zelix Welcome Zelix Cleaner Zelix Backup Zelix Essentials Zelix Helper 4. Ubuntu LTS Reliability
Strong hardware compatibility, large software repositories, and long-term stability. 5. Easy Installation
Uses Calamares for a user-friendly and straightforward installation process. Who Is ZelixOS For? KDE Plasma users Beginners transitioning to Linux Students and developers Anyone who wants a lightweight, stable, and clean desktop Those who like Ubuntu but want a more refined, performance-tuned experience Download & More Information You can find the download links, source code, and documentation here:
Github Page (https://github.com/lanierc/zelixos) r/ZelixOS (https://www.reddit.com/user/Minsir/) Website (https://lanierc.github.io/zelixos/) Feedback Welcome If you give ZelixOS a try, I’d be very happy to hear your impressions, suggestions, or bug reports.
Community feedback plays an important role in shaping the project. <!-- SC_ON --> submitted by /u/Minsir (https://www.reddit.com/user/Minsir)
[link] (https://lanierc.github.io/zelixos/) [comments] (https://www.reddit.com/r/programming/comments/1p2r971/introducing_zelixos_a_modern_fast_and_clean_linux/)
gis and sam 2
https://www.reddit.com/r/programming/comments/1p2twwk/gis_and_sam_2/

<!-- SC_OFF -->Do you know if there are any projects for segmenting satellite images or how I can do it because I found this https://samgeo.gishub.org/ but I would like to do it recursively for a large portion of land and highlight all the structures within that area but as far as I know this only does it in a minimum area of ​​small dimensions and then the rest must be done manually, do you have other interesting projects in mind that are ready?? <!-- SC_ON --> submitted by /u/panspective (https://www.reddit.com/user/panspective)
[link] (https://samgeo.gishub.org/) [comments] (https://www.reddit.com/r/programming/comments/1p2twwk/gis_and_sam_2/)
A Technical Insight About Modern Compilation
https://www.reddit.com/r/programming/comments/1p2x8ex/a_technical_insight_about_modern_compilation/

<!-- SC_OFF -->Within the past several years, I have been intrigued by the aggressive code optimization of high-level code into surprisingly efficient machine instructions by modern compilers. The part of it that most interests me is that even small refactors such as eliminating dead code or preventing dead air type transformations can produce huge effects on the assembly output. It serves as a nice reminder that though modern languages are abstract, the reasoning of compilers about code has much more practical use, particularly in troubleshooting code performance bottlenecks. <!-- SC_ON --> submitted by /u/Prize-Tomorrow-5249 (https://www.reddit.com/user/Prize-Tomorrow-5249)
[link] (https://www.sciencedirect.com/topics/computer-science/modern-compiler) [comments] (https://www.reddit.com/r/programming/comments/1p2x8ex/a_technical_insight_about_modern_compilation/)
Gis and Sam 2
https://www.reddit.com/r/programming/comments/1p3cm0t/gis_and_sam_2/

<!-- SC_OFF -->I'm working on a project where I need to identify abandoned or hidden buildings inside a very large forested area using satellite images mostly I found a tool called samgeo Is image segmentation (e.g., SAM, U-Net, Mask R-CNN, etc.) the best way to detect abandoned structures in dense forests would a different machine learning / computer vision method work better on high-resolution satellite imagery? Recommended workflows or models specifically tuned for detecting man-made structures under canopy or in rural/wild areas? tips on preprocessing TIFF images (NDVI, filtering, vegetation masking, etc.) that can improve detection? <!-- SC_ON --> submitted by /u/panspective (https://www.reddit.com/user/panspective)
[link] (https://samgeo.gishub.org/) [comments] (https://www.reddit.com/r/programming/comments/1p3cm0t/gis_and_sam_2/)
The One Algorithm That Makes Distributed Systems Stop Falling Apart When the Leader Dies
https://www.reddit.com/r/programming/comments/1p3plqk/the_one_algorithm_that_makes_distributed_systems/

<!-- SC_OFF -->Introductory article about Raft algorithm, which is used for leader selection in a distributed system. I see it used in tools like etcd, Consul, and Nomad for keeping configuration and service discovery consistent; in CockroachDB for storing data safely across nodes. <!-- SC_ON --> submitted by /u/SmoothYogurtcloset65 (https://www.reddit.com/user/SmoothYogurtcloset65)
[link] (https://medium.com/@venkateshwagh777/the-one-algorithm-that-makes-distributed-systems-stop-falling-apart-when-the-leader-dies-d9e7930c449f) [comments] (https://www.reddit.com/r/programming/comments/1p3plqk/the_one_algorithm_that_makes_distributed_systems/)
After 15 years, I have finally reached the point where I use Outlook as my build pipeline
https://www.reddit.com/r/programming/comments/1p3thwc/after_15_years_i_have_finally_reached_the_point/

<!-- SC_OFF -->I had an annoying problem at work where we had to work around some less-than-optimal firewall rules, and because we are working on a tool that requires quite frequent testing (like several times per hour we work on it), it was really adding up to take these five-minutes per file that it took to get them from my coworker's machine to mine, and I quickly designed a server workflow that could take the encoded file and save it to its own file system.
Because we could not find a good way to bring these files over, we figured it was actually a good idea to send it via email to an inbox with a specific subject line, and then have a Python noscript on my end checking the inbox every minute to then take the attached file and send it to the endpoint. This has to be one of the hackiest solutions I have come up with over the years for a problem that wouldn't have to be one if my coworker was simply allowed to call the endpoint from his code, but I found it interesting how simple it actually is to connect from a Python noscript to a local Outlook client and parse the results. Less than 100 lines of code, and we have a "build pipeline" going that reduces our manual overhead significantly. <!-- SC_ON --> submitted by /u/codingtofreedom (https://www.reddit.com/user/codingtofreedom)
[link] (https://iwriteaboutcode.blogspot.com/2025/11/after-15-years-i-have-finally-reached.html) [comments] (https://www.reddit.com/r/programming/comments/1p3thwc/after_15_years_i_have_finally_reached_the_point/)