With most Python questions the answer is the accepted StackOverflow answer, with TensorFlow you really have to read every question that is even remotely similar to yours and then the answer is the unaccepted answer right at the bottom of the 9th question you read. 
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Replying to @o_guest
That sort of makes sense. When it comes to basic Python language questions there is (not always, but) often one right way to do it. Whereas with something like TensorFlow even its creators are still groping around in the dark on a lot of questions.
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Replying to @Iguananaut
You mean in terms of how to design their library?
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Replying to @o_guest @Iguananaut
I think they could start by writing the documentation to actually reflect what the code does. Especially those who release their weights pretending like it's open science. It's not open if nobody knows what the hell you did. Often they didn't even do what's in the preprint!
12:22 PM - 27 Apr 2018
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