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View All on GitHubRRL is a tiny experimental language that compiles into Python. It’s designed to be simple, readable, and fun — you can move a robot around, define functions, write loops, and even create classes, all in a lightweight syntax. The project includes a parser, transpiler, and sandboxed runtime.Contributions are welcome to improve this even further.
RRL is a tiny experimental language that compiles into Python. It’s designed to be simple, readable, and fun — you can move a robot around, define functions, write loops, and even create classes, all in a lightweight syntax. The project includes a parser, transpiler, and sandboxed runtime.Contributions are welcome to improve this even further.
RRL is a tiny experimental language that compiles into Python. It’s designed to be simple, readable, and fun — you can move a robot around, define functions, write loops, and even create classes, all in a lightweight syntax. The project includes a parser, transpiler, and sandboxed runtime.Contributions are welcome to improve this even further.
RRL is a tiny experimental language that compiles into Python. It’s designed to be simple, readable, and fun — you can move a robot around, define functions, write loops, and even create classes, all in a lightweight syntax. The project includes a parser, transpiler, and sandboxed runtime.Contributions are welcome to improve this even further.
RRL is a tiny experimental language that compiles into Python. It’s designed to be simple, readable, and fun — you can move a robot around, define functions, write loops, and even create classes, all in a lightweight syntax. The project includes a parser, transpiler, and sandboxed runtime.Contributions are welcome to improve this even further.
RRL is a tiny experimental language that compiles into Python. It’s designed to be simple, readable, and fun — you can move a robot around, define functions, write loops, and even create classes, all in a lightweight syntax. The project includes a parser, transpiler, and sandboxed runtime.Contributions are welcome to improve this even further.