neilkod

#Basically splits the method of death and the device

#!/bin/python
import sys, re

canabalt_regexp = re.compile(r'"(.*) on my ([^.]+)\."')
for line in sys.stdin:
	data = line.strip()
	try:
		user,score,method_of_death = data.split(',')

neilkod

import tweepy
from BeautifulSoup import BeautifulSoup
import urllib2

CONSUMER_KEY = 'oh'
CONSUMER_SECRET = 'no'
ACCESS_KEY = 'you'
ACCESS_SECRET = 'dont'

neilkod

building ngram index...

@karen_sharp @allisonnazarian By being concerned with nothing but
ourselves, we need not tyranny to trap us. Like involuntary shitting.
RT @EllieM72: Crying doesn't indicate that you're alive Twitter in
America: "FOOOOOOOODDDD!!!" Christian Pedophiles And Conservatives
#CPAC No, in the immediacy of a wink, where I pretend to resist & y
... Anything available at a Chinese buffet, comedian John Pinette
brushes up his "You go now!" routine with an Egyptian accent. RT
@FLGovRickScott: 2 Live Crew's Luther Campbell to run for Miami-Dade

neilkod

column time_taken_display format a12
column input_per_sec format a13
column output_per_sec format a13
column input_gb format 9999
column output_gb format 9999
column status format a10
set lines 300 pages 300
  select  start_time
       ,  end_time
       ,  input_bytes_per_sec_display input_per_sec

neilkod

from BeautifulSoup import BeautifulSoup
import urllib2
page = urllib2.urlopen('http://www.treasurydirect.gov/NP/BPDLogin?application=np')
soup = BeautifulSoup(page)
debt = soup.find('table',{'class':'data1'}).findAll('td')[3].text
asof = soup.find('table',{'class':'data1'}).findAll('td')[0].text

population_url = 'http://www.census.gov/main/www/popclock.html'
population_page = urllib2.urlopen(population_url)
soup = BeautifulSoup(population_page)

neilkod

Tamara-Kodners-MacBook-Pro:tmp tamara$ cat coins.txt 
gold     1    1986  USA                 American Eagle
gold     1    1908  Austria-Hungary     Franz Josef 100 Korona
silver  10    1981  USA                 ingot
gold     1    1984  Switzerland         ingot
gold     1    1979  RSA                 Krugerrand
gold     0.5  1981  RSA                 Krugerrand
gold     0.1  1986  PRC                 Panda
silver   1    1986  USA                 Liberty dollar
gold     0.25 1986  USA                 Liberty 5-dollar piece

neilkod

>>> for x,y in srtd[0:30]:
...   print x,y
... 
design 139
art 105
fun 101
inspiration 100
blog 72
photography 69

neilkod

results are on the last line.

I'm trying to determine which subjects on delicious are 'cool'.  I downloaded a sample of 1700 urls that were tagged at least once with 'cool'. 

I ran the code against a small sample of 50 because I have to look up delicious url metadata(bookmarks, tags) for each url and I'm rate-limited. Out of 50 urls(hey, i'm just testing), 94 were bookmarked with 'cool'.  Remember, 1:M relationship between urls:bookmarks.

Looking at those 94 records, I'm counting the other hashtags that were used in conjunction with cool.  

Results follow.  I'm now running it against 500 urls just for some testing.  If this works, I'll run it against as many URLS as I can as I progress.  I still have a bit to learn about the deliciousapi module, I haven't looked through its source yet.

neilkod

select  max(end_time) completion_time
     ,  timestamp_to_scn(max(end_time)) scn
  from  v$rman_backup_job_details 
 where  input_type = 'DB FULL' 
   and  status='COMPLETED';

neilkod

    aws_access_key_id: HADOOPHADOOPBOBADOOP
    aws_region: us-west-1
    aws_secret_access_key: MEMIMOMADOOPBANANAFANAFOFADOOPHADOOP