MattPitlyk

# coding: utf-8
"""
Scan all folders in path and output a list of folder names and sizes sorted by descending size.
"""
import os
from os.path import join, getsize
from collections import defaultdict
import argparse

MattPitlyk

"""Example pulled from pandas docs for highlights 
the highest number in each columns to illustrate the 
experimental DataFrame.style api.
"""

import pandas as pd

df = pd.DataFrame.from_dict({'Medications': {'By Alphabetical': 7.7914173413117429e-05,
  'By Diagnosis': 0.12608248612763967,
  'By Occurrences': 0.024339338681789544},

MattPitlyk

from threading import Thread
from Queue import Queue
import requests

def worker():
    while True:
        url = input_q.get()  # grab a task (a url to scrape) from the input_q
        res = requests.get(url)
        output_q.put((url, res.content)) # save just the content or the entire response object to process later
        input_q.task_done() # Tells the input_q that the task we grabbed above (the url) has been processed

MattPitlyk

'''
This file demostrates how to prevent a generator from being fully comsumed by 
multiprocessing. It avoids using multiprocessing.map() in favor of a single
queue with a max size from which processes pull elements to work on. As elements
are being processed, a loop fills the queue will elements from the generator 
until it reaches its max size, at which point it blocks until elements are 
retrieved from the queue by the processes.
'''
from multiprocessing import Process, JoinableQueue
import os

MattPitlyk

echo "test script" > test.txt

MattPitlyk

def send_mail(msg, to_add, from_add=from_add, 
              smts_server=('smtp.gmail.com', 587), 
              login=(email, password),
              subj=None,
              header=True):
    """Function to consolidate sending a single email. to_add can be a list."""
    if header:

MattPitlyk