Swift for Tensorflow has implemented Python interoperability, rather than embedded Python code as in this article. A Swift program can import a Python module and interact with Python objects and functions as if they were native Swift objects (minus strong typing, of course). See https://github.com/tensorflow/swift/blob/master/docs/PythonI...
Rust has had Python interop through the Python C API since around 2015 [1]. It's pretty low hanging fruit for any language that supports the C FFI. Rust-cpython has had simple macros for interop for ages [2] and there's even a library that uses serde macros to encode/decode pickled object [3].
This article is just a fun hack using Rust macros.
