cinder
hy
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cinder | hy | |
---|---|---|
43 | 52 | |
3,375 | 4,772 | |
0.8% | 1.0% | |
9.4 | 9.0 | |
1 day ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cinder
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Meta Used Monolithic Architecture to Ship Threads in Only Five Months
Meta is actually contributing directly to upstream cpython. If you really wanted to, the internal fork is also open source: https://github.com/facebookincubator/cinder
- Meta pledges Three-Year sponsorship for Python if GIL removal is accepted
- Back end of Meta Threads is built with Python 3.10 with some interesting tweaks
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Lessons from Mojo for PHP 10+ ?
Just one example: last year Meta open-sourced Cinder, which powers Instagram and provides sizeable speedups compared to CPython.
- Python true static typing
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Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
I used to work on the Cinder JIT and can help document any passes you find interesting or confusing.
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Python-based compiler achieves orders-of-magnitude speedups
You might enjoy Cinder then. It's based on CPython so it is nearly 100% compatible.
https://github.com/facebookincubator/cinder/
Disclaimer: I used to work on it.
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beartype: It has documentation now. It only took two years, my last hair follicle, precious sanity points (SPs), and working with Sphinx. Don't be like @leycec. Go hard on documentation early.
I think Cinder's Static Python, which also performs runtime type checking, is more ambitious. Though it's not production ready yet.
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If there’s gonna be a Python 4.0 one day, what’s a breaking change you’d like to see? Let’s explore the ideas you have that can make Python even better!
Here's a fork that implements that https://github.com/facebookincubator/cinder - it might be nice to one day get that up streamed but obviously it'll be controversial and it certainly needs more time to bake. Hopefully at some point we can make it a pip installable extension though.
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Is it time for Python to have a statically-typed, compiled, fast superset?
The other thing that was interesting to me, was the potential of type annotations to help make for a faster, safer experience on the compiler end of things. One example is seen in Meta’s Cinder project, on the docs it explains how typing can be used to reduce the number of steps for the compiler ([cinder/static_python.rst at cinder/3.8 · facebookincubator/cinder · GitHub](https://github.com/facebookincubator/cinder/blob/cinder/3.8/CinderDoc/static_python.rst)), making it more effective.
hy
- A dialect of Lisp that's embedded in Python
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How to Write a (Lisp) Interpreter (In Python)
Not exactly the same (doesn't embed into the source like this did), but I believe Hylang[0] is the best Lisp package available for modern Python.
[0] https://github.com/hylang/hy
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Sapling: A highly experimental vi-inspired editor where you edit code, not text
Isn't that a bit what hy (https://hylang.org/) tries to do ? AIUI it is a lisp interacting directly with the AST of Python, allowing seamless interop: Python modules can be used from hy and vice versa, everything is transparent.
- Hylang, a Lisp dialect embedded in Python
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Hissp
I’ve been keeping loose tabs on this and Hy[1] for a while, but I’ve had some trouble figuring out the major differences between them and the use-cases for either. Would love to see an in-depth comparison in the form of a blog post sometime (though maybe the answer here is to do the research and write one up myself).
1: https://hylang.org
- Hy
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Ask HN: Is SICP/HtDP still worth reading in 2023? Any alternatives?
“Python is for scientists. Lisp is for engineers.”
Then what does that make Hy language?
https://hylang.org/
Re Languages with lots of example code and LLM’s
With translators or things like Hy lang, one could get the LLM’s to solve your problem in Python before converting it to another form. Then, you just need a translator. If lacking one, it’s easy to translate by hand.
The practicality of this concept will probably vary by use case. My experiments had GPT doing sketching, implementations, boilerplate, and even porting Python to Rust. A legally-clear LLM trained on multiple languages could probably be fine-tuned to do Python to LISP conversions. If not, Hy might be a stepping stone, too.
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Sharing Saturday #469
You could say so: I've been maintaining the compiler since 2016 ;). Infinitesimal Quest 2 + ε (SQ) exists more to advance Hy than for its own sake.
- What if: python without commas
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Best implementation of CL for learning purposes
If you are using Python - you might find Hylang (https://hylang.org) interesting.
What are some alternatives?
faster-cpython - How to make CPython faster.
hissp - It's Python with a Lissp.
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
Fennel - Lua Lisp Language
Pyjion
babashka - Native, fast starting Clojure interpreter for scripting
graalpython - A Python 3 implementation built on GraalVM
eso-light-attack-weave - This is a macro for the game Elder Scrolls Online
MonkeyType - A Python library that generates static type annotations by collecting runtime types
Carp - A statically typed lisp, without a GC, for real-time applications.
hpy - HPy: a better API for Python
hebigo - 蛇語(HEH-bee-go): An indentation-based skin for Hissp.