femtolisp
mal
femtolisp | mal | |
---|---|---|
10 | 94 | |
1,550 | 9,808 | |
- | - | |
0.0 | 0.0 | |
about 4 years ago | about 1 month ago | |
Scheme | Assembly | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
femtolisp
- Petalisp: Elegant High Performance Computing
- fe: A tiny, embeddable language implemented in ANSI C
-
From Common Lisp to Julia
> In short, Julia is very similar to Common Lisp, but brings a lot of extra niceties to the table
This probably because Jeff Bezanson, the creator of Julia, created a Lisp prior to Julia, which I think still exists inside Julia in some fashion
https://github.com/JeffBezanson/femtolisp
-
Modern Python Performance Considerations
Well let's flip this around: do you think you could write a performant minimal Python in a weekend? Scheme is a very simple and elegant idea. Its power derives from the fact that smart people went to considerable pains to distill computation to limited set of things. "Complete" (i.e. rXrs) schemes build quite a lot of themselves... in scheme, from a pretty tiny core. I suspect Jeff Bezanson spent more than a weekend writing femtolisp, but that isn't really important. He's one guy who wrote a pretty darned performant lisp that does useful computation as a passion project. Check out his readme; it's fascinating: https://github.com/JeffBezanson/femtolisp
You simply can't say these things about Python (and I generally like Python!). It's truer for PyPy, but PyPy is pretty big and complex itself. Take a look at the source for the scheme or scheme-derived language of your choice sometime. I can't claim to be an expert in any of what's going on in there, but I think you'll be surprised how far down those parens go.
The claim I was responding to asserted that lisps and smalltalks can only be fast because of complex JIT compiling. That is trueish in practice for Smalltalk and certainly modern Javascript... but it simply isn't true for every lisp. Certainly JIT-ed lisps can be extremely fast, but it's not the only path to a performant lisp. In these benchmarks you'll see a diversity of approaches even among the top performers: https://ecraven.github.io/r7rs-benchmarks/
Given how many performant implementations of Scheme there are, I just don't think you can claim it's because of complex implementations by well-resourced groups. To me, I think the logical conclusion is that Scheme (and other lisps for the most part) are intrinsically pretty optimizable compared to Python. If we look at Common Lisp, there are also multiple performant implementations, some approximately competitive with Java which has had enormous resources poured into making it performant.
-
CppCast: Julia
While it uses an Algol inspired syntax, it has the same approach to OOP programing as CLOS(Common Lisp Object System), with multi-methods and protocols, it has a quite powerfull macro system like Lisp, similar REPL experience, and underneath it is powerered by femtolisp.
- Julia and the Incarceration of Lisp
-
What is the smallest x86 lisp?
For a real answer, other replies have already mentioned KiloLisp, but there's also femtolisp. Also, not exactly what you're asking for, but Maru is a very compact and elegant self-hosting lisp (compiles to x86).
-
lisp but small and low level?Does it make sense?
Take a look at femtolisp It has some low level features and is quite small. There is also a maintenance fork at lambdaconservatory
-
Lispsyntax.jl: A Clojure-like Lisp syntax for julia
A fun Julia easter egg I recently discovered.
Running 'julia --lisp' launches a femtolisp (https://github.com/JeffBezanson/femtolisp) interpreter.
-
Wisp: A light Lisp written in C++
Reminds me of the femtolisp README :)
Almost everybody has their own lisp implementation. Some programmers' dogs and cats probably have their own lisp implementations as well. This is great, but too often I see people omit some of the obscure but critical features that make lisp uniquely wonderful. These include read macros like #. and backreferences, gensyms, and properly escaped symbol names. If you're going to waste everybody's time with yet another lisp, at least do it right damnit.
https://github.com/JeffBezanson/femtolisp
mal
-
Ask HN: Is Lisp Simple?
>Would be interesting to see how the interpreter works actually...
It's quite easy to see, there are interpeters for Lisp in like 20 lines or so.
Here's a good one:
https://norvig.com/lispy.html
(It has the full code in a link towards the bottom)
There's also this:
https://github.com/kanaka/mal
- GitHub - kanaka/mal: mal - Make a Lisp
-
Build Your Own Lisp
Here is one implementation of a lisp (mal specifically) in matlab: https://github.com/kanaka/mal/blob/dcf8f4d7b9cf7b858850a04a0...
Only 260 lines of code, pretty concise :)
-
Found inside my compiler I've been writing for about 2 years
have a look at the crafting interpreters book, plus make a lisp (lisp is a great first language to make a compiler/interpreter for, just google "lisp compiler/interpreter" and you'll find lots of resources)
- Ce proiecte for-fun ati facut in timpul facultatii ca sa invatati ceva nou si practic singuri?
-
Crafting Interpreters or Writing an Interpreter in Go? Given context
If you're really okay with the limitations of a tree-walk interpreter, you might want to check out MAL, which will teach you how to write a tree-walk interpreter for a LISP. The code for MAL has been translated to most popular languages, so you can work through the creation of an interpreter in the language of your choice. JLox would give you a bit more detail and a more complex language, but I'm not convinced that it's all that important.
-
What do I do now?
Write a small programming language (lisp (https://github.com/kanaka/mal) or brainfuck) in C++ to learn the syntax more. This will teach you a lot about programming languages in general.
- Ask HN: What projects did you build to get better as a programmer?
-
Can you beat my dad at Scrabble?
So I started some hobbyist game dev using Unity and realised that the full process of making a game has dependencies on a mass of lower-level skills including lighting virtual environments. As a hobbyist photographer I could see some useful analogies from lighting studios and other scenes
So I pivoted, and eventually made money, not from selling a game, but from developing tutorials about digital lighting. I was also able to contribute to a project at work that was making a product based on commercial games engine, not by actually coding it, but by helping to better estimate the costs of the asset generation required.
Coding Unity object scripts in C# also got me back into programming, and I went on to successfully build a self-hosting lisp interpreter following the Make a Lisp guidelines [0].
[0] https://github.com/kanaka/mal/blob/master/process/guide.md
-
Advice for a first-time designer of my own original programming language? Presently writing the interpreter!
Hijacking the top comment to add https://buildyourownlisp.com and https://github.com/kanaka/mal
What are some alternatives?
small-lisp - A very small lisp interpreter, that I may one day get working on my 8-bit AVR microcontroller.
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
julia - The Julia Programming Language
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
Carp - A statically typed lisp, without a GC, for real-time applications.
sectorlisp - Bootstrapping LISP in a Boot Sector
Fennel - Lua Lisp Language
project-based-learning - Curated list of project-based tutorials
hy - A dialect of Lisp that's embedded in Python
hissp - It's Python with a Lissp.
wisp - A little Clojure-like LISP in JavaScript