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So, let's start an install of TensorFlow on my MacBook Air and see how far we get.
Install TensorFlow on OSX: The first question I need to answer is do I want to tackle finding out information about my GPU, so that I can make an informed decision about whether I want GPU support. I'm running this on a MacBook Air, so I'm guessing I don't have "a NVIDIA CUDA GPU meeting the prerequisites". Even if I did, I'm not planning to intentionally " run performance-critical applications". Let's just go for the CPU support only install.
Now that there is a decision on which version to install, I need to decide how to install. Since I'm not an expert, installing from sources is out of the question right now. This leaves, virtualenv, native pip, and Docker. Docker doesn't support TensorFlow with GPU support on the Mac which isn't an issue. The hundreds of MBs are not an issue, but still, I don't think I want to bother with Docker. Since I don't have an app in Docker, I don't have a reason to use it. The warnings about cross interference of Python packages and the disabling of SIP make me shy away from doing a native pip install.
So...that leaves virtualenv.
Step one: install pip