From www.tensorflow.org/extend/language_bindings :

"Python was the first client language supported by TensorFlow and currently supports the most features. More and more of that functionality is being moved into the core of TensorFlow (implemented in C++) and exposed via a C API. Client languages should use the language's foreign function interface (FFI) to call into this C API to provide TensorFlow functionality."

From FFI::Platypus :

"Platypus is a library for creating interfaces to machine code libraries written in languages like C, C++, Fortran, Rust, Pascal. Essentially anything that gets compiled into machine code. This implementation uses libffi to accomplish this task. libffi is battle tested by a number of other scripting and virtual machine languages, such as Python and Ruby to serve a similar role. There are a number of reasons why you might want to write an extension with Platypus instead of XS:"

Go ahead, change the world...