LukeB42

#!/usr/bin/env python
# Use PyMarkovChain to generate markov chains from news articles.
import sys, os
from emissary.models import Article
from pymarkovchain import MarkovChain

mc = MarkovChain(os.getenv('HOME') + os.sep + '.markovdb')

if __name__ == "__main__":
        if len(sys.argv) < 3:

LukeB42

#!/bin/bash
#Print resident set size of a process
ps aux|grep $*|grep -v grep|grep -v bash|awk '{$6=$6/1024; print $6 "MB\t" $11 "\t" $1;}'|sort -n

LukeB42

#!/usr/bin/env python
import sys
from goose import Goose
import requests
from subprocess import Popen, PIPE
import errno
requests.packages.urllib3.disable_warnings()

def fetch(url):
	h={"User-Agent":"aread 0.01"}

LukeB42

#!/usr/bin/env python
import sys, github3

def search_github(terms):
    data = []
    results = github3.api.search_repositories(' '.join(terms))
    for i in results:
        j = i.to_json()
        item={}
        item['url']          = j['git_url'].encode('ascii','ignore')