The lack of this specific issue appearing in say Python may be that the relative speed penalty is not that large? It seems that one of the strong features of Julia is its speed, having to deal with complex numbers in this way means that people have to pay more attention to coding than when using other languages.
I can imagine that if I wanted to have code running as fast as possible in say a case where I don't know if eigen values will be real or complex, I could code for both cases within the file and take branches according? Does that approach even make any sense in the context of Julia?
