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These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
| #!/usr/bin/env bash | |
| cd ~ | |
| wget http://repo.continuum.io/archive/Anaconda3-4.0.0-Linux-x86_64.sh | |
| bash Anaconda3-4.0.0-Linux-x86_64.sh -b | |
| echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc | |
| source ~/.bashrc |
| import time | |
| import psycopg2 | |
| from iter_file import IteratorFile | |
| conn = psycopg2.connect(host="localhost", database="test") | |
| # args = [(1,2), (3,4), (5,6)] | |
| args = [(i,i+1) for i in range(1,1*10**4,2)] |
| import numbers | |
| import six | |
| import numpy | |
| import matplotlib.collections | |
| from matplotlib import pyplot | |
| # using example from | |
| # http://nbviewer.ipython.org/github/dpsanders/matplotlib-examples/blob/master/colorline.ipynb |
These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
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Here are the supplementary materials for my (Jonathan Whitmore's) 2017 Keynote for the USC Career Conference Beyond the PhD.