> Bullshit. Python is often used for early exploration but the people doing serious work in ML almost always end up using C++, Java or Scala.

LOL. What? Did you poll every company doing ML work to arrive at that conclusion? C++, sure. Java and Scala? I've literally NEVER seen actual ML work done in either language at either of the 2 companies (both big 4) I've worked at.

> So having relatively poor tooling,

No. Is Java's tooling generally better? Probably. Does that make all other tooling poor? No.

> poor package management

Stop treating your preference as if it's fact.

> poor performance

Which matters sometimes, but not always. If performance were a metric that made a language live or die, nobody would use anything but C/C++.

> bad concurrency support

Only in Python. But that's moot, you don't need concurrency in every application. Do you realize there are ENORMOUS applications, in-use today, that scales dramatically and they are written in a variety of languages, including Python?

> Go and Python aren't even particularly well designed languages.

Your arguments here indicate you have very little understanding of basic language use-cases, so pardon me if I don't hold your opinion on language design to a very high standard.

> aren't good reasons for dismissing a language

They aren't reasons. They are your opinions and a fundamental misunderstanding of basic use-cases. Frankly, based on what you've said so far, your judgement about languages in general is on-par with what I'd expect for a new grad CS major that only used C++ or Java while in college.

> That's far more than you've given for dismissing Java and claiming that alternatives are "vastly better for a typical startup."

And yet I clearly explained why Java is generally not a good choice for a startup. And it seems, most startups agree since the majority don't use Java.