However what makes Python a failure is that people feel they need this to dependably run a python program which only has pure-python dependencies.
Compare this to a language like Rust, or the NPM ecosystem. In those cases, the tools have managed to dependably encapsulate projects such that you only need the package manager to make a project fully repeatable.
With either of those ecosystems, there's basically one system dependency, and you can find any repository online and dependably do `git clone ...` then `cargo build` etc. to make it work. With Python, you effectively have to reproduce the original developer's system, and that is a failure.
Because if you don’t rely on Python packages with extensions that farm out to external libs it’s as easy as git clone, pyenv virtualenv, pip install -r, and python -m build.
1. virtualenv shouldn't be necessary. This is more or less the same concept as containerization. This is only needed because python has a fractured ecosystem, and setting up your environment for one project can break another.
2. you also have to know which environment encapsulation and package management solution the library author is using - this is not standardized