Julia: A Post-Mortem
This feels like a very strongly worded title for a fairly lacklustre article.<p>There’s Python the language and “Python the dsl for tensor frameworks”, the former has arguably lost some ground&#x2F;mindshare to newer, less “hobbled” languages, and the latter exists not by virtue of its own strengths but as the convenient vehicle for frameworks written by 2 enormous corporations.<p>Julia hasn’t overtaken Pythons ecosystem yet, but how far its come in relatively little time is the real testament to its community-that which the author decries as lacking.<p>Using weird outdated rankings and citing “that one package that kind of works in very specific circumstances” (Numba) as proof that all Pythons issues are solved and Julia is over is a weak argument at best, and deceptive at worst.<p>What Julia could really, really benefit from though is some vocal commercial backing-had google chosen to rewrite Tensorflow in Julia I think 2 things would have happened:
1. the project would have actually succeeded and been finished (in a “this is the tensorflow engine now” sense)
2. It would have done absolute wonders for the Julia ecosystem and mindshare and we wouldn’t be having this taudry discussion.  
That didn’t happen (unless some tensorflow product managers want a promotion by re-launching a tensorflow rewrite? ;) ) so they need another source of major support IMO.