Here's to hoping it manages to actually solve the Python packagig issue (and lots of people are saying it already has for their use cases)!
That is only true if you never reexamine the universality of your statement. I promise that it is possible to "solve" the mess that was Python's ecosystem, that uv has largely done so, and that your preconceptions are holding you back from taking advantage of it.
Multiple times people have explained why they think whatever they are madly in love with now is the definitive solution. And none of those times, over those couple of decades did it turn out to be true.
I understand that you are enthusiastic about things. I get it. But perhaps you might understand that some people actually need to see things stick before they declare a winner? I'm not big on wishful thinking.
Python isn't the only language that has poor tooling. C/C++ is even bigger than Python in terms of established code base, and its tooling is nothing short of atrocious.
What helps is people realizing where tooling and production readiness should be. They can learn a lot from Rust and Go.
The it's big so therefore it must be right argument is nonsense. Worse yet: it is nonsense that excuses lack of real improvement.
This is silly and seems to discount the massive Python codebases found in "real production environment"s throughout the tech industry and beyond, some of which are singlehandedly the codebases behind $1B+ ventures and, I'd wager, many of which are "robust" and fit for "industrial use" without babysitting just because they're Python.
(I get not liking a given language or its ecosystem, but I suspect I could rewrite the same reply for just about any of the top 10-ish most commonly used languages today.)
Except it doesn't. It just creates another X that is popular for a while, and doesn't somehow retroactively "fix" all the chaotic projects that are a nightmare to install and upgrade. Yes, I understand people like Python. Yes, I understand the LLM bros love it. But in a real production environment, for real applications, you still want to avoid it because it isn't particularly easy to create robust systems for industrial use. You may survive if you can contain the madness in a datacenter somewhere and have people babysit it.