peps
koda
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| peps | koda | |
|---|---|---|
| 36 | 1 | |
| 4,133 | 97 | |
| 1.5% | - | |
| 9.8 | 4.4 | |
| 4 days ago | 4 months ago | |
| reStructuredText | Python | |
| - | MIT License |
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.
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
koda
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PEP 563, PEP 649 and the future of pydantic and FastAPI
I'll shamelessly piggy-back here, and note that I'm working on a different type of type-safe validation library for python here: https://github.com/keithasaurus/koda.
I'm nearing an initial release, but am still working on some of the docs, naming, and things like that. If anyone had any feedback, I'd be grateful!
What are some alternatives?
materials - Bonus materials, exercises, and example projects for our Python tutorials
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
starlette - The little ASGI framework that shines. 🌟
gcc
returns - Make your functions return something meaningful, typed, and safe!
DIPs - D Improvement Proposals
adt - Algebraic data types for Python (experimental, not actively maintained)
faster-cpython - How to make CPython faster.
pydantic - Data validation using Python type hints
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities
CPython - The Python programming language