alt Hacker News> An easy way to prove that this is the norm is to take some existing code you have now, and update to the latest versions your dependencies are using
I have done this many times and watched everything fail to break.
> An easy way to prove that this is the norm is to take some existing code you have now, and update to the latest versions your dependencies are using
I have done this many times and watched everything fail to break.
Are you sure you’re reading what I wrote fully? Getting pip, or any of them, to ignore all version requirements, including those listed by the dependencies themselves, required modifying source, last I tried.
I’ve had to modify code this week due to changes in some popular libraries. Some recent examples are Numpy 2.0 broke most code that used numpy. They changed the c side (full interpreter crashes with trimesh) and removed/moved common functions, like array.ptp(). Scipy moved a bunch of stuff lately, and fully removed some image related things.
If you think python libraries are somehow stable in time, you just don’t use many.