[atoav]

The problems start as soon as your scripts should run on more than your own computer.

If you pip install something, you install it on the system python (the python binary located at sys.executable). This can break systems if the wrong combination of dependencies comes together. This is why you should never install things via pip for other people, unless you asked them first.

Now how else would you install them? There is a thing called virtual environments, which basically allows you to install pip dependencies in such way, they are only there within the context of the virtual environment. This is what you should do when you distribute python programs.

Now the problem is how do you ensure that this install to the virtual environment uses specific versions? What happens when one library depends on package A with version 1.0 and another library depends on a package with version 2.0? Now what happens if you deploy that to an old debian with an older python version.. Before uv I had to spend literal days to resolve such conflicts.

uv solves most of these problems in one unified place, is extremely performant, just works and when it does not, it tells you precisely why.