kuroko VS quantleaf-language-documentation

(kuroko)[https://github.com/kuroko-lang/kuroko] is basically Python, but C

Kuroko: Dialect of Python with explicit variable declaration and block scoping, with a lightweight and easy-to-embed bytecode compiler and interpreter.

I would say Kuroko makes more sense ;-P

Kuroko 1.3.0 gets a release candidate. Lots of big things since 1.2.5, like optimized method invocation, more operator overloads, better support for f-string expressions (format specs, =, faster constructions), a long type with my own bigint implementation (this was the last thing I was still regularly opening Python repls for, so a huge personal win). I also fixed a bunch of little things that have been nagging me, like the compiler can now compile expressions directly, which allowed me to remove the kludge that made the repl work previously. The WASM web repl also got some love with a port of the core of Hiwire from Pyodide, giving a very straightforward interface between JS and Kuroko in a browser - and I rebuilt the web IDE on it. I've also been working on a new compiler, which will hopefully form the basis of 2.0 - and this might be the last 1.x release (though I expect at least a few 1.3.x bug fix releases).

In case it's not clear, PonyOS is a joke reskin of my serious OS project, ToaruOS. PonyOS gets a new release every April 1st. All of the libraries and applications in ToaruOS are in-house things I built myself - the whole OS is "built from scratch". PonyOS adds ponysay, which is an external app originally written in Python - and in previous releases of PonyOS I shipped the Python version alongside a port of Python 3.6. This release, though, comes with a port to my own language, Kuroko, which is a dialect of Python - a lot of what went into building the PonyOS release this year was getting ponysay to work well.

Did this year's Advent of Code in Kuroko which sussed out some bugs and missing functionality. Better hashing for tuples, more builtins and methods on standard classes for improved compatibility with Python, general build cleanups. In the later problems, most suffering was caused by the GC, so I'd like to put more thought into collection strategies going forward.

Is it me you're looking for?

See https://github.com/quantleaf/quantleaf-language-documentation/tree/master/examples for Swedish and English code examples.

Hey! I am involved in a project where I am trying to create a programming language that uses machine learning to compile text as computer code, some info here (https://github.com/quantleaf/quantleaf-language-documentation). This is not yet open source as a whole, but I am currently in the process of doing so. The first subproject to be released is a search engine library that enables you to score documents with a value between 0 and 1 (I call it “zero-to-one” score). In short, this is done by evaluating the product of how close we are to a perfect match regarding document length and query length, but also in terms of the amount of tokens, in the document and in the query.

I am working on a natural language programming language! Will soon post a launch announcement on this subreddit. I currently call it the Quantleaf Language.Here is a small a small introduction to the syntax which will be available!