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mattip
searching Neon…
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5 ms
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1.
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by
mattip
4mo ago
NumPy has a whole dispatch mechanism to deal with the tradeoffs. The main problem is code bloat: how many microarchitectures are you going to support with dispatch at runtime?
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mattip
4mo ago
There is google’s highway, that provides an abstraction layer. It is used by NumPy.
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mattip
6mo ago
PyPy dev here. Really cool project to convert RPython from python2 to rust. They have a long way to go, but seem to be making progress. Unfortunate name conflict with a typechrcker.
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mattip
6mo ago
That cleanup can be explicit when needed by using context managers. Mixing resource handling with object lifetime is a bad design choice
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mattip
6mo ago
The problem is the million small paper cuts. The stdlib changes are not all in pure python, many have implications for compiled modules like _ssl. The interpreter changes, especially compatibility with small interpreter changes that are ref
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mattip
6mo ago
CFFI is fast on PyPy. The JIT still cannot peer into the compiled C/C++ code, but it can generate efficient interface code since there is a dedicated _cffi_backend module built into PyPy. Originally that was the motivation for the PyPy
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mattip
6mo ago
Benchmarks are tricky. Do you have a specific use case you want sped up?
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mattip
6mo ago
- The pure python repl started off in PyPy, although a lot of work was done to make it ready for prime time by the COython core devs - The lessons from HPy are slowly making their way into CPython, see https://github.com/py
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mattip
6mo ago
Yes. The C API those libraries use is a good fit to CPython, a bad fit to PyPy. Hence CFFI and HPy. Actually, many if the lessons from HPy are making their way into CPython since their JIT and speedups face the same problems as PyPy. See h
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mattip
6mo ago
Third party libraries like SciPy scikit-learn, pandas, tensorflow and pytorch have been critical to python’s success. Since CPython is written in C and exposes a nice C API, those libraries can leverage it to quickly move from (slow) python
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mattip
6mo ago
PyPy core dev here. If anyone is interested in helping out, either financially or with coding, we can be reached various ways. See https://pypy.org/contact.html
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mattip
9mo ago
> Imagine how Open Source Software could improve if a consortium of nations put their money and resources into commissioning bug fixes and enhancements, which would be of collective benefit. This is the business model of Quansight Labs,
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mattip
11mo ago
There is some information transfer happening. Antonio Cuni was at the latest Coython developer sprint and shared some insights from PyPy https://antocuni.eu/2025/09/24/tracing-jits-in-the-real-worl...
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PyPy v7.3.18 Release
(pypy.org)
3 points
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mattip
2y ago
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2 comments
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mattip
2y ago
PyPy v7.3.18: release of python 2.7, 3.10 and 3.11 beta
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mattip
2y ago
There are portable downloads of PyPy here https://pypy.org/download.html
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mattip
2y ago
That’s my post. Happy to answer any questions
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Conda-forge proposes sunsetting support for PyPy
(pypy.org)
3 points
by
mattip
2y ago
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0 comments
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mattip
2y ago
Anyone can attend.
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mattip
2y ago
I think part of the point is that it doesn’t matter. You can’t preach “frugality” and @we all need to pitch in” and then use private jets and rock concerts for the few at the top. It is hypocritical.
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mattip
2y ago
We try to keep around useful versions of Python3, based on what wheels packagers make available. NumPy<2 provides PyPy3.9 wheels, and we have PyPy3.10 ready. Now that NumPy has moved to PyPy3.10 wheels, we will probably drop 3.9. Help is
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mattip
3y ago
PyPy dev here. A little money could go along way to speeding up the PyPy base interpreter. Right now PyPy has no active income.
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mattip
3y ago
The article is more about how to pin to prevent breakage, but also includes a link to the migration guide. A draft of the complete changeset is https://numpy.org/devdocs/release/2.0.0-notes.html . The changes move
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mattip
3y ago
That sounds like cffi https://cffi.readthedocs.io/en/latest/
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mattip
3y ago
To make it clear: this is only a proposal, not a regulation. It has a very low chance of making it into the books as it goes against the legal framework for free speech. This minister is trying to destroy Israel’s democracy from within, and
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Array API Support in scikit-learn
(labs.quansight.org)
2 points
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mattip
3y ago
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0 comments
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mattip
3y ago
While we are trying to minimize the disruptions, there is one thing project maintainers should do right now: pin the maximum NumPy to <2.0 in their ~`pyproject.toml`~ project dependencies. This will ensure they do not inadvertently upgra
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mattip
3y ago
In what way does PyPy break compatibility?
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mattip
3y ago
What kind of speed up did you get?
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mattip
3y ago
What kind of speed up do you get?
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