Minimum=/=lowest effort.

Especially with the caveat of "with a programming background", it is far easier to reason and debug through PyTorch with just Python knowledge, compared to TensorFlow/Keras, which sooner or later requires you to learn a condensed history of TensorFlow/Keras development to understand why things are the way they are.

In my opinion,

  import lib
  lib.train("imagenet", "resnet50", epochs=10)
  lib.eval()

is NOT a good example of a beginner friendly library. It's a thin wrapper facade that hides all of the actual complexity behind "Train ImageNet in 3 lines of code!"