Half the tutorial is about how to set up virtualEnv and other config.
This is why I hate developing in python. I will just wait for go and node.js to come up with their own APIs for tensor flow.
This is why I hate developing in python. I will just wait for go and node.js to come up with their own APIs for tensor flow.
No, it's not. The README.md for the repo has a link to the tensorflow 'Download and Setup' instructions (in another repo).
The files in the tensorflow_tutorials repo are all code samples (and corresponding ipython notebooks) showing how to use Tensorflow.
I tried pretty much every permutation, starting with the recommended one in the tutorial, and every one ended in a different error.
Don't get me wrong, the Ruby tooling situation for instance is probably just as bad, only I've gotten used to that by now.
Under the hood, it's comparably horrible, but IME bundler does a much better job of papering over that horribleness for experienced users and newcomers alike.
Virtual environments have their benefits, but they are far from necessary.
Pip and setup tools were not made for a windows-type environment. I.e. Where you have don't library dependencies automatically installed and you require a compiler. Windows is a second-class citizen when it comes to those things, but it's getting better with cygwin and all that.
EDIT: For the general case of Python on windows, it might be worth looking into [Anaconda][https://www.continuum.io/downloads].