An-Introduction-to-Statistical-Learning VS quine-relay

hardikkamboj/An-Introduction-to-Statistical-Learning (Jupyter Notebook): This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

If there were more languages, then it'd be `console.log("System.out.println({python_source})")`, etc. The problem then becomes quoting and escaping inner quotes. I managed to avoid the problem by using both single and double quotes, and relying on Python's `repr` also giving valid JS strings, but if I had to add one more language I'd have problems.

I still think the Quine Relay is a tour de force, but for different reasons. It's not 128 quines in different languages, but an incredibly robust system for quoting and escaping strings in 128 different languages.

[1] https://github.com/mame/quine-relay/blob/master/src/code-gen...

One of the most impressive works I've seen: https://github.com/mame/quine-relay

"Quine" is a type of program, when executed, will output itself (it's actually it's source code). It's very hard to write one. And this guy wrote a loop quine. It supposed to work like this: * A program in language A output a program in language B * The program in language B output a program in language C * The program in language C output the same program in language A which we started with

Or a Quine relay.

Why use a couple of languages, when you can use 128 of them simultaneously? https://github.com/mame/quine-relay

Quine relay [1] is to this day the most "I will never understand this" brainfuck project I have ever seen.

[1] https://github.com/mame/quine-relay

Go look at a programming quine and tell me it isn't art.