distros
hpy
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distros
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Installed Gentoo again after an 18 year hiatus
I guess I'll keep posting comments about https://www.calculate-linux.org/
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Birth of the Gentoo Linux Distribution
Having started with Linux using Gentoo - after some attempted excursions into Debian/Ubuntu, then at work CentOS and even few months of having to use Slackware on servers until I finally convinced my boss that his T50-something Thinkpad will do same or better on Gentoo ... (and he won't need to manually chase up dependencies).
And even thought already for years compiling most of the things doesn't take that long. Just for not having to compile bunch of packages where I'm using standard/default config - I've tried Sabayon (back when it was still almost kind of Gentoo), went back to Gentoo ...
And then for almost a decade now - I've been extremely happy with https://www.calculate-linux.org/
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Public package repository for Gentoo?
https://www.calculate-linux.org/ does
- I really want to use Gentoo but I'm tired of the compiling
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Most stable and polished distro for few rather different purposes
Also don't overlook Calculate Linux as an option for getting into Gentoo using a GUI installer, pre-configured desktops, and a binary package repo for most of the common linux packages -- yet giving you a standard Gentoo system to work with. Apparently you would be interested in the Gnome Edition.
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Gentoo Is a Project Car
If we follow that project car metaphor - https://www.calculate-linux.org/ is project car where you can get all parts pre-machined (already compiled) and you can still customize bits and pieces, or even whole thing.
That said - it's default config/profile and use flags are such that it's rare some package needs to be compiled.
- Do i meet the system requirements?
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Is it possible to install KDE Plasma and its dependencies from a binary?
Mb you want to try this https://www.calculate-linux.org/ It's rebranded Gentoo with precompiled packages.
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I need OpenRC, which distro is better?
Calculate Linux
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what distro should i pick as a cs student/software engineer? (already have experience with linux)
The best of all worlds, for the OP, may be Calculate Linux which provides binaries for most packages while still allowing any package to be installed from the massive gentoo repositories (including overlays such as those for Common Lisp and Haskell).
hpy
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RustPython
There is a merge request up to add autogen rust bindings to hpy
https://github.com/hpyproject/hpy/pull/457
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Ruby 3.2’s YJIT is Production-Ready
Are you referencing https://github.com/hpyproject/hpy?
I do hope it takes off.
- HPy - A better C API for Python
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Codon: A high-performance Python compiler
The HPy project [0] seems like a promising way out of this.
[0] https://hpyproject.org/
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New record breaking for Python in TechEmPower
socketify.py breaks the record for Python no other Python WebFramework/Server as able to reach 6.2 mi requests per second before in TechEmPower Benchmarks, this puts Python at the same level of performance that Golang, Rust and C++ for web development, in fact Golang got 5.2 mi req/s in this same round. Almost every server or web framework tries to use JIT to boost the performance, but only socketify.py deliveries this level of performance, and even without JIT socketify.py is twice as fast any other web framework/server in active development, and still can be much more optimized using HPy (https://hpyproject.org/). Python will get even faster and faster in future!
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Is it time to leave Python behind? (My personal rant)
I think Propose a better messaging for Python is the option and a lot of languages will learn it from Rust, because rust erros are the best described errors I see in my life lol. Cargo is amazing and I think we will need a better poetry/pip for sure, HPy project will modernize extensions and packages 📦 too https://hpyproject.org/
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A Look on Python Web Performance at the end of 2022
It also show that PyPy3 will not magically boost your performance, you need to integrate in a manner that PyPy3 can optimize and delivery CPU performance, with a more complex example maybe it can help more. But why socketify is so much faster using PyPy3? The answer is CFFI, socketify did not use Cython for integration and cannot delivery the full performance on Python3, this will be solved with HPy.
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socketify.py - Bringing WebSockets, Http/Https High Peformance servers for PyPy3 and Python3
HPy integration to better support CPython, PyPy and GraalPython
- HPy: A better C API for Python
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Your Data Fits in RAM
Absolutely everything in CPython is a PyObject, and that can’t be changed without breaking the C API. A PyObject contains (among other things) a type pointer, a reference count, and a data field; none of these things can be changed without (again) breaking the C API.
There have definitely been attempts to modernize; the HPy project (https://hpyproject.org/), for instance, moves towards a handle-oriented API that keeps implementation details private and thus enables certain optimizations.