trivia
Pluto.jl
trivia | Pluto.jl | |
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7 | 78 | |
324 | 4,884 | |
- | - | |
0.8 | 9.5 | |
7 months ago | 8 days ago | |
Common Lisp | JavaScript | |
GNU General Public License v3.0 or later | MIT License |
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trivia
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Compiling Pattern Matching
I've used it. :)
https://github.com/guicho271828/trivia/issues/108
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Pattern matching macros vs functions?
You can see it, for instance, in the Trivia library ( https://github.com/guicho271828/trivia/blob/master/level0/impl.lisp ): the macro match0 is a thin wrapper around the function parse-patterns, and this, in turn, calls the function make-pattern-predicate which performs the recursive destructuring of patterns.
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From Common Lisp to Julia
I can agree it's not the same, but what's the point? A more interesting disagreement is that I wouldn't say it's a downside (though yes, there are tradeoffs). Especially in Current Year when open source is fashionable and pretty much every language has a package manager to make pulling in or swapping out dependencies pretty easy, I don't see the issue. It's also interesting to note that of all the things Clojure did to "fix" shortcomings of past languages with a more opinionated (and often more correct I'll admit) design philosophy that users are forced to use (even when it's not more correct), infix-math-out-of-the-box wasn't one of them. I don't think that specifically really hurt Clojure adoption. (But of course Clojure is reasonably extensible too so it also has a macro package to get the functionality, though it's more fragile especially around needing spaces because it's not done with reader macros.)
I've brought the library up many times because CL, unlike so many other languages, really lets you extend it. Want a static type system? https://github.com/coalton-lang/coalton/ Want pattern matching? No need to wait for PEP 636, https://github.com/guicho271828/trivia/ If all that keeps someone from trying CL, or from enjoying it as much as they could because of some frustration or another, due to lacking out of the box, chances are it is available through a library.
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LEM - What If Emacs Was Multithreaded
Great libraries like trivia, iterate/for/alternative loop libraries, alexandria, and a hundred others. Common Lisp is a general purpose programming language with good support for ffi, working with files, databases, images, audio, etc. Just skim awesome-cl if you haven't. You could argue this doesn't have to do with the language, but a lot of these libraries are so good (or even possible) in part because of language features elisp does not have.
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Pattern Matching Accepted for Python
> After much deliberation, the Python Steering Council is happy to announce that we have chosen to accept PEP 634, and its companion PEPs 635 and 636, collectively known as the Pattern Matching PEPs
This is why I'm still enamored with Lisp. One doesn't wait around for the high priests to descent from their lofty towers of much deep pontification and debate with shiny, gold tablets inscribed with how the PEPs may be, on behalf of the plebes. One just adds new language feature themselves, eg. pattern matching[1] and software transactional memory[2].
1. https://github.com/guicho271828/trivia
2. https://github.com/cosmos72/stmx
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Show HN: Powerful Python Pattern Matching Library
The source is impressively simple! Good job!
I have been implementing a pattern matcher for scheme based on the Balland pattern optimized, and every time I see pattern matchers for python I always get the feeling that the code you are replacing have to be truly awful for the rather contrived pattern matching syntax to be a net win. Compare any of the python pattern matchers to something like trivia in Common Lisp [0] and you see what I mean.
How do people use the python pattern matchers? I am genuinely curious. One benefit that I see is that you can build patterns at run-time which could be useful.
[0]: https://github.com/guicho271828/trivia/wiki/Type-Based-Destr...
Pluto.jl
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Potential of the Julia programming language for high energy physics computing
I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.
A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.
https://github.com/fonsp/Pluto.jl
Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.
https://code.visualstudio.com/docs/languages/julia
Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.
- Pluto.jl: Simple, reactive programming environment for Julia
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Ask HN: Why don't other languages have Jupyter style notebooks?
Re Julia there is also pluto.jl that is another notebook-like environment for julia. It's been a few years since I played with it but it looked cool, for example it handles state differently so you don't get into the same messes as with ipython notebooks. https://plutojl.org/
- Pluto: Simple Reactive Notebooks for Julia
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Looking for a Julia gui framework with a demo like EGUI
For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl
- Excel Labs, a Microsoft Garage Project
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IPyflow: Reactive Python Notebooks in Jupyter(Lab)
I believe this is what Pluto sets out to do for Julia.
I used it as part of the āComputational Thinkingā with Julia course a year or two back. Even then the beta software was very good and some of the demos the Pluto dev showed were nothing short of amazing
https://plutojl.org/
- For Julia is there some thing like VSCode's python interactive window?
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What have you "washed your hands of" in Python?
I think what you want is Pluto!
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Show HN: Out of order execution in Jupyter notebooks is a solved problem
I like how Pluto.jl handles this:
> Pluto offers an environment where changed code takes effect instantly and where deleted code leaves no trace. Unlike Jupyter or Matlab, there is no mutable workspace, but rather, an important guarantee:
> At any instant, the program state is completely described by the code you see.
[1] https://github.com/fonsp/Pluto.jl
What are some alternatives?
python-imphook - Simple and clear import hooks for Python - import anything as if it were a Python module
vim-slime - A vim plugin to give you some slime. (Emacs)
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities
rmarkdown - Dynamic Documents for R
awesome-pattern-matching - Pattern Matching for Python 3.7+ in a simple, yet powerful, extensible manner.
Weave.jl - Scientific reports/literate programming for Julia
peps - Python Enhancement Proposals
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
IJulia.jl - Julia kernel for Jupyter
flynt - A tool to automatically convert old string literal formatting to f-strings
Tables.jl - An interface for tables in Julia