Python Environment Setup - nature-of-code/NOC-S17-2-Intelligence-Learning GitHub Wiki

This page is based on Abhiskek's excellent Machine Learning Demystified.

Setup Environment

1) Install miniconda

bash /path/to/the/file/you/just/downloaded

(For the path you can drag the bash file you download into your terminal window from where you installed it.)

  • Review the license and approve the license terms - type in yes and press enter
  • Press Enter again to confirm the location of install
  • Type yes when it asks you if the install location should be prepended to PATH
  • Restart Terminal for changes to take effect
  • Type: conda info
  • If it prints out some stuff then it has installed correctly

2) Create an environment

conda create -n tensor python=3.5.2

You can name it something other than 'tensor' if you prefer. Type: y (and press Enter). This will create a conda environment with the name 'tensor' and python version 3.5.2

3) Turn off conda by default

These instructions will set conda to be your "default" python on your machine (rather than the usual python 2 that comes pre-installed on a mac.) If you would prefer to turn this off, you have to edit your bash_profile (a configuration file for terminal.) Use these steps.

Edit bash profile with

$ nano ~/.bash_profile

You should see:

# added by Miniconda3 4.3.11 installer
export PATH="/Users/yourname/miniconda3/bin:$PATH"

Change this to:

alias start_conda='PATH="/Users/yourname/miniconda3/bin:$PATH"'

Restart terminal. Now terminal will not use your conda python installation unless you enter start_conda. You could also consider using something like VirtualEnv instead.

4) Activate environment

$ source activate tensor

You should see (tensor) prepended before your terminal prompt

5) Install Jupyter

Make sure you can see (tensor) prepended before the terminal prompt before proceeding

conda install jupyter

Type y and press enter.

6) Install python packages

Create a file called requirements.txt and paste the following into it. You can also grab this requirements.txt

Flask==0.12.1
matplotlib==2.0.0
numpy==1.10.4
scipy==0.17.0
Pillow==4.1.0
keras==2.0.3
image==1.5.5
tensorflow==1.0.0
h5py==2.7.0

Make sure you tensor environment is activated (you should see (tensor) prepended before your terminal prompt).

pip install -r requirements.txt

To open the Jupyter notebook files:

jupyter notebook

To run one of the flask server examples:

python server.py

Then navigate to localhost:8080 in the browser.