Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!
cat access.log.1 | cut -d '"' -f3 | cut -d ' ' -f2 | sort | uniq -c | sort -r |
curl -X GET "http://elastic-04:9200/content/_search/?size=10" -d' | |
{ | |
"query" : { | |
"common": { | |
"post_content": { | |
"query": "waterfront concert series", | |
"cutoff_frequency": 0.001, | |
"low_freq_operator" : "and" | |
} | |
} |
## get all the pageviews on the boundary-vpc host in the last hour, sort by timestamp | |
curl -X GET "http://elastic-04:9200/logstash-2015.03.31/_search/?pretty" -d' | |
{ | |
"query": { | |
"filtered": { | |
"query": { | |
"match": {"host" : "boundary-vpc"} | |
}, | |
"filter": { |
curl -X GET "http://elastic-04:9200/logstash-2015.04.07/_search/?pretty" -d' | |
{ | |
"size" : 0, | |
"query": { | |
"filtered": { | |
"query": { | |
"match": {"query_string.userId[muid]" : "46bce8bec4abf177"} | |
}, | |
"filter": { | |
"range": { |
{ | |
"settings": { | |
"number_of_shards": 5, | |
"analysis": { | |
"analyzer": { | |
"happy_tokens": { | |
"type": "pattern", | |
"tokenizer": "split_on_comma", | |
"char_filter": ["kill_pluses"] | |
} |
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!
<meta name="keywords" content="Maine, news, elections, election results, politics, sports, Bangor, Portland, Augusta, weather, obituaries, Waterville, Aroostook, Penobscot, Piscataquis, Somerset, Hancock, Washington, bdn, health, next, nation, regions, we all want to die with dignity, but not yet, is_article, unbylined" /> |
import scipy.stats as ss | |
from scipy.stats import norm, beta, zscore, gamma | |
import numpy as np | |
from math import sqrt | |
from itertools import chain, permutations | |
# the functions below aim to replicate the R function here: | |
# http://stat.ethz.ch/R-manual/R-patched/library/stats/html/power.prop.test.html |
import pandas as pd | |
import re | |
import urllib2 | |
import pprint | |
import json | |
def geocode(place): | |
add = urllib2.quote(place) | |
geocode_url = "http://maps.googleapis.com/maps/api/geocode/json?address=%s&sensor=false®ion=us" % add |
DO | |
$BODY$ | |
DECLARE | |
_sql text; | |
BEGIN | |
EXECUTE 'SET search_path = topology,public;'; | |
EXECUTE 'ALTER SCHEMA topology OWNER TO rds_superuser;'; |