Learning a new technology can be challenging, and sometimes setup can slow you down.

I wanted to experiment with machine learning and just follow along with a a few tutorials.  But first, I had to get a compatible environment up and running.

So I thought I’d document it here, and after several bookmark/footnote tweets,

### install pyenv and virtualenv 
brew install pyenv 
brew install pyenv-virtualenv 

### initialize pyenv 
eval "$(pyenv init -)" 
eval "$(pyenv virtualenv-init -)"

### install python 3.6 with pyenv 
pyenv install 3.6.5 

### create a virtualenv for using tensorflow 
pyenv virtualenv 3.6.5 tf 
pyenv activate tf 

### install dependencies in virtualenv using 
pip pip install --upgrade pip 
pip install tensorflow

### optionally use jupyter web interface 
pip install jupyter 
jupyter notebook 

### use tensorflow in your app 
import tensorflow as tf

I created a gist.

https://gist.github.com/fijiaaron/0755a3b28b9e8aaf1cd9d4181c3df346

Here’s the great intro to Deep Learning video I followed along with:

I’ll follow up with a quick screencast video showing how the steps look together for those who want to see it.