faster-cpython
peps
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| faster-cpython | peps | |
|---|---|---|
| 20 | 36 | |
| 937 | 4,133 | |
| - | 1.5% | |
| 0.0 | 9.8 | |
| over 1 year ago | 6 days ago | |
| reStructuredText | ||
| - | - |
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.
faster-cpython
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Faster CPython at PyCon, part two
It is unclear to me whether Python 3.12 will receive significant improvements. Based on the information from https://github.com/faster-cpython/benchmarking-public, it appears that there may be a 2% performance enhancement. Is this the anticipated result, or are there additional developments awaiting merger?
Initially, the "Shannon Plan" (https://github.com/markshannon/faster-cpython/blob/master/pl...) aimed for a 50% improvement with each release. Has this goal been deemed unattainable, or are there adjustments being made to the plan?
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Python-based compiler achieves orders-of-magnitude speedups
Yes, that's the JIT part of the plan. Sections of code will be compiled, "at runtime". Those sections of compiled code will be tied together with interpreted code. It will be somewhere between rare to impossible to have a fully compiled program, without interpreter glue.
- Faster-Cpython Plan.md
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A Team at Microsoft is Helping Make Python Faster
see: https://github.com/markshannon/faster-cpython/blob/master/plan.md
- Implementation plan for speeding up CPython
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Does Python plan to add JIT or get rid of the GIL?
Yes, the Shannon plan, which is actively being worked on by a team headed by Guido, includes JIT work in stages 3 and 4
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Python 3.11 is 25% faster than 3.10 on average
The goal with faster cpython is for small compounding improvements with each point release[0]. So in the end it should be much more than a tiny improvement.
[0] https://github.com/markshannon/faster-cpython/blob/master/pl...
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Python 3.11 Performance Benchmarks Are Looking Fantastic
The Shannon Plan. Announced by Guido at the 2021 Python Language summit, funded by Microsoft.
Well, good news then, it's in the planning!
- Why hasn't Python compiled/JIT/AHT projects gained mainstream traction?
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?
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
materials - Bonus materials, exercises, and example projects for our Python tutorials
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
ideas
gcc
jax-md - Differentiable, Hardware Accelerated, Molecular Dynamics [Moved to: https://github.com/jax-md/jax-md]
DIPs - D Improvement Proposals
Pyston - A faster and highly-compatible implementation of the Python programming language.
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities
chruby - Changes the current Ruby
trivia - Pattern Matcher Compatible with Optima