letlang
Pluto.jl
letlang | Pluto.jl | |
---|---|---|
12 | 78 | |
157 | 4,892 | |
- | - | |
7.9 | 9.5 | |
4 months ago | 1 day ago | |
Rust | JavaScript | |
MIT License | 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.
letlang
-
Letlang ā Roadblocks and how to overcome them - My programming language targeting Rust
That works for any types (except the functional types), and even the generic ones. During code generation, I create structs that implement the Type trait.
-
A new milestone for Letlang (targeting Rust) - Effect Handlers
As stated on the website ( https://letlang.dev ), Letlang is a general-purpose language.
-
Writing a simple Lisp interpreter in Rust
Author here, the article is more about how Rust and its ecosystem are nice tools for language designers rather than the beauty of Lisp.
The crates listed in that article are the ones I use for my compiler: https://letlang.dev
Lisp was only chosen as a way to demonstrate the power of those crates and Rust features. A kind of way of justifying my choices for Letlang.
It's not "you should do it like this" but "you can do it like this".
-
Ask HN: Possible? Faster than C, simpler than Python, safer than Rust
"Faster than C", I saw people write C code slower than a Python equivalent. So I have to admit, I don't know what it means for a language to be fast, because it depends on the algorithm being implemented.
---
"simpler than Python", what does "simple" mean?
Simple design? Python's design is very complex (take a look at "Crimes with Python's pattern matching" < https://www.hillelwayne.com/post/python-abc/ > for example), on the other hand, assembly languages, or Lisp, or Forth, have a very simple design.
Simple as in "easy to use"? Rust is easy, write code, fix what the compiler tells you you did wrong. Joke aside, Go is quite easy to use and while I personally don't like this language, I get why it replaced Python in a lot of use cases.
Also, once you get used to the OTP framework, Erlang/Elixir/Gleam/any beam language are quite easy to use and have less footguns than Python.
---
"safer than Rust" is too vague. Is it memory safety? type safety? thread safety? cosmic ray safety? A mix of all of that?
Let's guess you meant "memory safety". All languages with a Garbage Collector are "memory safe".
---
On a semi-unrelated note, I've been working on https://letlang.dev
It's a language inspired by Erlang/Elixir (same concurrency model) that compiles to Rust code (the runtime use tokio). It is immutable, have no Garbage Collector thanks to Rust semantics, and dynamically typed.
I haven't run any benchmark (it's not even finished, I've been working on the specification before continuing the implementation), but I guess it could be slower than a rock.
---
For some recommendations, have you looked at Zig? Nim? Hare?
https://ziglang.org/
-
Syntax for defining algebraic data types
In my language (Letlang), I use the keyword class with structural pattern matching and optionally a predicate. Types (or rather, classes) can be combined with logical operators &, |, !:
-
Erlang's not about lightweight processes and message passing
Not sure this is what GP is talking about but to implement the actor model in https://letlang.dev I use tokio.
-
Features you've removed from your lang? Why did you put them in, why did you take them out?
In the early drafts of Letlang, I had the goal to add an equation solver. I got rid of that because:
-
What features would you want in a new programming language?
I'm working on a programming language inspired by erlang and which compiles to Rust: https://letlang.dev
-
Six programming languages Iād like to see
For a contract based language and a "really dynamically typed language", I'm working on https://letlang.dev
And it's because I haven't thought yet about how to do static type checking with such a feature.
I haven't got any time to work on it in the past few weeks, and I'm the only dev (would really love some help). So, it will be ready when it will be ready :P
-
Hello Letlang! My programming language targeting Rust
I use Rust generators to implement them, a rudimentary example: https://github.com/linkdd/letlang/blob/main/letlang_runtime/src/utils/entrypoint.rs
Pluto.jl
-
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
-
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
-
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
-
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?
-
What have you "washed your hands of" in Python?
I think what you want is Pluto!
-
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?
zigself - An implementation of the Self programming language in Zig
vim-slime - A vim plugin to give you some slime. (Emacs)
scenebuilder - Scene Builder is a visual, drag 'n' drop, layout tool for designing JavaFX application user interfaces.
rmarkdown - Dynamic Documents for R
cells - A Common Lisp implementation of the dataflow programming paradigm
Weave.jl - Scientific reports/literate programming for Julia
power-fx-host-samples - Samples for hosting Power Fx engine.
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
impulse - Impossible Dev Tools for React and Tailwind
IJulia.jl - Julia kernel for Jupyter
halo - An experimental graph-based meta programming language
Tables.jl - An interface for tables in Julia