MLStyle.jl
peps
| MLStyle.jl | peps | |
|---|---|---|
| 5 | 36 | |
| 390 | 4,140 | |
| - | 0.9% | |
| 6.6 | 9.8 | |
| about 2 months ago | 3 days ago | |
| Julia | reStructuredText | |
| 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.
MLStyle.jl
- Mlstyle.jl: “Functionalprogramming.jl”
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Does anyone really like what Mathematica achieves, but hates the syntax?
It seems to have all the lovable traits you stated, except ML style patterns but there's MLStyle developing.
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What are some of your favourite macros?
@chain and @match.
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Pattern Matching Accepted for Python
> and we're stuck with an inferior Lisp/ML, especially in the scientific sector.
You will love Julia.
Here is some links:
https://julialang.org/blog/2012/02/why-we-created-julia/
Julia: Dynamism and Performance Reconciled by Design (https://dl.acm.org/doi/pdf/10.1145/3276490)
https://opensourc.es/blog/basics-multiple-dispatch/
And when you start finding things that you miss, Julia and the community got you with excellent Metaprogramming support.
https://github.com/thautwarm/MLStyle.jl
https://github.com/MikeInnes/Lazy.jl
https://github.com/jkrumbiegel/Chain.jl
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?
Match.jl - Advanced Pattern Matching for Julia
materials - Bonus materials, exercises, and example projects for our Python tutorials
gcc
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
flynt - A tool to automatically convert old string literal formatting to f-strings
trivia - Pattern Matcher Compatible with Optima
DIPs - D Improvement Proposals
kalk - Scientific calculator with math syntax that supports user-defined variables and functions, complex numbers, and estimation of derivatives and integrals
faster-cpython - How to make CPython faster.
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.