Good points @jlapeyre.
To the Julia team: The return-on-investment for well-maintained Python and C++ interoperability is colossal. I can’t emphasize this enough. A couple dedicated maintainers for PyJulia now could bring contributions from hundreds of external engineers for other packages in the future.
When I was working at a FAANG company I chatted with someone researching potential languages to use in the future. I mentioned Julia as an option for high-performance compute, and most of their questions to me were about how well it could interface with existing languages in their stack (particularly Python and C++). Interoperability is absolutely essential to adoption by existing industries with mature software stacks!