I love python, but I hate dealing with python dependencies, especially on Windows.
I was tinkering and researching with neural networks, so I wanted to try out pybrain. I wrote my project, with pybrain installed via pip, and tried to build it.
Oh, what's that? Pybrain doesn't work with python 3? Well I'll download the version that's supposed to. Oh, that version has a deprecated numpy api? Let me just install those other resources. Oh, that requires a broken module that has no publicly available source?
Let's try python 2. Oh, now that's working, I just need to export environment variables for some "bls source". Some quick Google searching and the only solution that would work is building a bunch of cywgin modules by hand. That's fine, I have an ubuntu partition.
An hour later I'm compiling FORTRAN dependencies on Ubuntu.
Coding time: 1 hour
Dependency time: 3 hours

Is it just me or is python community's dependency management a bit unreliable?

I just can't seem to easily install any python programs without missing dependencies. Updates have caused libraries to become incompatible, which in turn causes the application that used to work to just produce a stack trace.

Is this the state of python or am I doing something wrong.