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A language you feel the most productive with?
6 projects | reddit.com/r/ProgrammingLanguages | 9 Jul 2022
Carp, Lux and Dale are 3 I'm familiar with.There's also Dylan, though that one dropped its parentheses. But if we go by the brackets, technically, we can argue that any expression-based languages is a Lisp. I once wrote a Lisp to JS transpile whose output had more parens than the input. :)
2 projects | reddit.com/r/cpp | 31 Mar 2022
Julia is a Lisp in the same form as Dylan.
LLVM Internals: The Bitcode Format
3 projects | news.ycombinator.com | 19 Aug 2021
From Common Lisp to Julia
11 projects | news.ycombinator.com | 6 Sep 2022
> 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
Modern Python Performance Considerations
8 projects | news.ycombinator.com | 5 May 2022
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.
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.
2 projects | reddit.com/r/cpp | 31 Mar 2022
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
6 projects | news.ycombinator.com | 11 Jul 2021
What is the smallest x86 lisp?
5 projects | reddit.com/r/lisp | 25 Jun 2021
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?
4 projects | reddit.com/r/ProgrammingLanguages | 24 Mar 2021
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
8 projects | news.ycombinator.com | 19 Jan 2021
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++
10 projects | news.ycombinator.com | 28 Dec 2020
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.
What are some alternatives?
julia - The Julia Programming Language
small-lisp - A very small lisp interpreter, that I may one day get working on my 8-bit AVR microcontroller.
Carp - A statically typed lisp, without a GC, for real-time applications.
Fennel - Lua Lisp Language
sectorlisp - Bootstrapping LISP in a Boot Sector
awesome-lisp-companies - Awesome Lisp Companies
cling - The cling C++ interpreter
hissp - It's Python with a Lissp.
maru - Maru - a tiny self-hosting lisp dialect
LispSyntax.jl - lisp-like syntax in julia
foth - Tutorial-style FORTH implementation written in golang