femtolisp VS emmet

> 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

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.

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.

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).

Take a look at femtolisp It has some low level features and is quite small. There is also a maintenance fork at lambdaconservatory

A fun Julia easter egg I recently discovered.

Running 'julia --lisp' launches a femtolisp (https://github.com/JeffBezanson/femtolisp) interpreter.

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

Emmet is a content/code assist tool to write code faster and more efficiently. It comes standard with VS Code so there is no need for any plugin. The concept is simple: you start typing an Emmet abbreviation, press TAB or 'ENTER', and a full Emmet snippet for that abbreviation will come out.

Not equivalent, but arguably more useful for manual authoring: Emmet [0] was all the range a while back, and I still use it to write HTML. It comes naturally if you're used to writing CSS-like selectors, and mostly gets out of the way.

DSL-wise, I've rather enjoyed Clojure's Hiccup [1].

[0] https://emmet.io/

[1] https://github.com/weavejester/hiccup

LiveCodes provides many of the commonly used developer tools. These include Monaco editor (that powers VS Code), Prettier, Emmet, Vim/Emacs modes, Babel, TypeScript, SCSS, Less, PostCSS, Jest and Testing Library, among others. All these tools run seamlessly in the browser without any installations or configurations. It feels like a very light-weight version of your own local development environment including the keyboard shortcuts, IntelliSense and code navigation features.

local lspconfig = require('lspconfig') local configs = require('lspconfig/configs') local capabilities = vim.lsp.protocol.make_client_capabilities() capabilities.textDocument.completion.completionItem.snippetSupport = true lspconfig.emmet_ls.setup({ -- on_attach = on_attach, capabilities = capabilities, filetypes = { 'html', 'typescriptreact', 'javascriptreact', 'css', 'sass', 'scss', 'less', 'javascript' }, init_options = { html = { options = { -- For possible options, see: https://github.com/emmetio/emmet/blob/master/src/config.ts#L79-L267 ["bem.enabled"] = true, }, }, } })

Emmet is a tool that allows you to quickly generate HTML and CSS code by using abbreviations and expanding them into full code.

One interesting plugin from that list is an amazing tool called Emmet, which helps you write HTML and CSS faster by using simple abbreviations that are then converted into code blocks. However, there is one minor drawback; by default, Emmet is not enabled for React in VS Code.

As you can see, emmet can help you avoid doing repetitive tasks. Please click here to find out more about emmet acronyms.

You might also consider adding snippets or Emmet support to your IDE. This will let you reuse existing templates that you use frequently so you don't have to waste time with the initial development.