> I can’t say I understand this rather pervasive attitude. If you have well tested code in a language which you can easily interface with, why bother rewriting

> I can’t say I understand this rather pervasive attitude. If you have well tested code in a language which you can easily interface with, why bother rewriting it except for reasons of performance or compositionality? Or perhaps you mean that we’ll all be writing Julia even if some algorithms still sit in Python? I mostly mean that I think Julia will someday have more mindshare in scientific computing than Python. However, I'd say that the reason you see the "rewrite it in pure julia" attitude everywhere is that we enjoy a lot of benefits from having more and more things in pure julia, namely that our very powerful metaprogramming and code introspection tools can more easily 'get inside' Julia code, and that the compiler is able to perform interproceedural optimizations (IPO). IPO are not always important, but when you need them and don't have them, you really miss them, so at least for numerical kernels and such, it's really nice to have as much pure julia infrastructure as possible. In the meantime though, as I daydream about a world where everything is written in Julia, there's nothing stopping me from being pragmatic and wrapping / bridging to and from other languages.