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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.
ideas
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Type information for faster Python C extensions
Lower latency native calls in Python would be extremely useful, thank you for your work! Is the following GitHub issue the right place to monitor progress? https://github.com/faster-cpython/ideas/issues/546
I'm open to doing some benchmarking. Several of my libraries have pure CPython bindings (StringZilla, UCall, SimSIMD), and all perform low-latency SIMD-accelerated ops, so might be a good testing ground :)
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How Many Lines of C It Takes to Execute a and B in Python?
Recent CPython development has been towards optimizations and addressing use cases that benefit from optimizations, some coming from the faster CPython initiative. You might just get your JIT[1].
[1] https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
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GIL removal and the Faster CPython project
The faster-cpython folks seem to be working towards a JIT (https://github.com/faster-cpython/ideas/tree/main/3.13) and both pyston and cinder have JITs. So I don't think anyone has ruled one out.
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Our Plan for Python 3.13
faster-cpython team has done a lot of work to experiment on it: https://github.com/faster-cpython/ideas/issues/485#issuecomm...
It kind of sounds like migration to register based is a foregone conclusion, but it's not very clear to me.
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Faster CPython at PyCon, part two
lots of big ideas are still remaining to be done. One example is the register based interpreter, see https://github.com/faster-cpython/ideas/issues/485
A previous plan called for the beginning of a JIT in 3.12, seen as "Trace optimized interpreter" here: https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
- EdgeDB – A graph-relational database built on top of Postgres
- Python 3.12 Nogil Benchmark
peps
- PEP 722: Python dependencies for single-file scripts
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Getting started with the Mojo programming language
If you have suggestions that could improve the Python experience, consider proposing these through the Python Enhancement Proposal (PEP) process. The Mojo team actively encourages this, as it views Mojo as a new member of the Python family.
- PEP 684 was accepted – Per-interpreter GIL in Python 3.12
- Disallow import * for your Python package
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Ask HN: Just Finished Stroustrup's 'Practice and Principles'. What Next?
after 1-6, should have a good idea of what type of documentation / coding standards / tools / levels of abstraction want to have/see for a projects source code/deliverable. :-)
[1] : http://github.com/Blackgu/ebooks/blob/master/ebooks/2012-2-1...
[2] : http://peps.python.org
[3] http://medium.com/codex/say-goodbye-to-loops-in-python-and-w...
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Don't carelessly rely on fixed-size unsigned integers overflow
Yet development is carried via consensus between developers and users, there are places where users come to discuss thinks and ask questsion, there are place where resolutions are described in a POSITA-understandable terms and so on.
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Show HN: Python framework is faster than Golang Fiber
Oh, I have a pretty fresh news for you.
https://github.com/python/peps/pull/2955
- PEP703 Making the Global Interpreter Lock Optional in CPython
- PEP 703: Making the Global Interpreter Lock Optional in CPython
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Are there any published articles about Python that I can reference?
You mean like PEPs? https://peps.python.org
What are some alternatives?
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
materials - Bonus materials, exercises, and example projects for our Python tutorials
faster-cpython - How to make CPython faster.
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
gcc
DIPs - D Improvement Proposals
jnumpy - Writing Python C extensions in Julia within 5 minutes.
nogil - Multithreaded Python without the GIL
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities