[kccqzy]

Python is an acceptable though not perfect substrate for developing embedded DSLs. It's dynamic enough that you can do a lot of things. Besides operator overloading which is commonly used in C++ for eDSLs, you can even write decorators that take the AST, completely regenerate new code via LLVM or something similar. This is the approach used by numba for JIT for example.

In the end I think mentioning Python is a red herring. You can produce an eDSL in Python that's not in LLM training data so difficult for LLMs to grok, and yet still perfectly valid Python. The deeper issue here is that even if you use Python, LLMs are restricting people to use a small subset of what Python is even capable of.