jobliz

import matplotlib
import matplotlib.pyplot as plt

# Iris petal length/width scatterplot (greatest class correlation)
# Dataset: http://archive.ics.uci.edu/ml/datasets/Iris
# Output: https://imgur.com/9TWhn

def data():
    lists = [line.strip().split(",") for line in open('flowerdata.txt', 'r').readlines()]
    return [map(float, l[:4]) for l in lists], [l[-1] for l in lists]

jobliz

import time
import redis
import urllib
import threading
import simplejson

class Generator(threading.Thread):
    def __init__(self, generator, output_channel, _redis=None):
        threading.Thread.__init__(self)
        self.generator = generator

jobliz

import redis
import threading

class Listener(threading.Thread):
    def __init__(self, r, channels):
        threading.Thread.__init__(self)
        self.redis = r
        self.pubsub = self.redis.pubsub()
        self.pubsub.subscribe(channels)