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home about r sas living the panda put life in the tranches mining facebook with python for fun and profit december 10, 2012 // 0 in my current job, i needed to find some avatars for a bunch of web pages, but bigger than favicon size. i was at a loss until i remembered that facebook has avatars in a whole bunch of sizes available by api. i decided to write a python app using the opengraph api . pass the script a text file containing tab-seperated values of the website name and domain, and it will do a search for the name, and download the avatar with a name as www_domain_com.png ? view code python 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 # !/usr/bin/python # copyright 2012 mark perdomo import os import re import sys import urllib from urlparse import urlparse import csv import time import json """facebook avatar downloader this program, given a list of urls, searches for the facebook uid of the fqdn and downloads the avatar. """ def read_urls ( filename ) : """returns a list of titles and fqdns from a file full of urls. screens out duplicates and returns the titles and urls in increasing order as a tuple.""" url_list = [ ] #csv library allows us to quickly access tab-seperated values with open ( filename ) as tsv: for line in csv . reader ( tsv, dialect= "excel-tab" ) : # use urlparse to cut up any urls try : url = line [ 1 ] o = urlparse ( url ) match = o. netloc #if there is a valid url, append the title/fqdn tuple if len ( match ) > 1 : url_list. append ( ( line [ 0 ] ,match ) ) except : print line + '--> not matched!' return sorted ( url_list ) def lookup_uid ( term ) : """does a fb opengraph search for a supplied string and returns the first facebook uid in search""" data = [ ] search_url_head = 'https://graph.facebook.com/search?q=' search_url_tail = '=&type=page' search_url = search_url_head + term + search_url_tail response = json. load ( urllib . urlopen ( search_url ) ) if response: try : return response [ 'data' ] [ 0 ] [ 'id' ] except : print 'bad json response' return 'null' else : print 'no response' return 'null' def download_image ( item, dest_dir, file_name ) : """constructs an fb opengraph query and downloads the images to the directory. provide a tuple with (fqdn,facebook uid) and the destination directory""" url_head = 'https://graph.facebook.com/' url_tail = '/picture?type=large' img_type = '.png' download_url = url_head + item + url_tail if not os . path . exists ( dest_dir ) : os . makedirs ( dest_dir ) if item ! = 'null' : print 'retrieving...' , download_url urllib . urlretrieve ( download_url, os . path . join ( dest_dir, file_name ) ) else : print 'there was a problem getting ' , file_name def check_missing ( site_list, dest_dir ) : """this function double-checks your work and tells you if a domain does not have an image""" error = [ ] for item in site_list: file_name = re . sub ( ' \. ' , '_' ,item [ 1 ] ) + '.png' if not os . path . exists ( os . path . join ( dest_dir, file_name ) ) : error. append ( item [ 1 ] ) if error: print ' \n \n no image for these domains:' for url in error: print url else : print ' \n \n all domains accounted for' def main ( ) : args = sys . argv [ 1 : ] if not args: print 'please specify a file input' sys . exit ( 1 ) todir = '' if args [ 0 ] == '--todir' : todir = args [ 1 ] del args [ 0 : 2 ] items = read_urls ( args [ 0 ] ) for item in items: site_title = item [ 0 ] site_url = item [ 1 ] file_name = re . sub ( ' \. ' , '_' , site_url ) + '.png' if not os . path . exists ( os . path . join ( todir, file_name ) ) : site_id = lookup_uid ( site_title ) download_image ( site_id, todir, file_name ) time . sleep ( .75 ) check_missing ( items, todir ) if __name__ == '__main__' : main ( ) file input is a txt file that looks like this: title root domain abc news http://abcnews.go.com/ al jazeera http://www.aljazeera.com/ al-monitor http://www.al-monitor.com/ the atlantic http://www.theatlantic.com/ the atlantic politics http://www.theatlantic.com/politics/ the atlantic wire http://www.theatlanticwire.com/ the code uses the fqdn as a "unique identifier" so when running the script multiple times, you won't generate too many api calls. also, i throttle the application using time.sleep() . this script saved me a lot of time, and now i only have to sort out bad matches and missing domains. categories python backtesting a trading strategy in sas and r may 24, 2012 // 1 for our investments class, we had to conceive and test a trading strategy using technical analysis. as a lover of r, i decided to reference some code i had seen earlier on modern toolmaking via r-bloggers: backtesting a simple stock trading strategy . the example provided r code that was very helpful in getting me to understand the math behind the testing part (as opposed to the conceptually easy trading rules). only one problem stood out: our professor wanted us to use sas! sas is still an industry leader and will be surely be seen in our future jobs, so i took the opportunity to try to use the concept behind the r code and translate it to sas' language. though i didn't have time to implement the extra features found in the excellent performanceanalytics package for r, i did manage to replicate the basic rule selection and calculation of cumulative return and win/loss. so with that said, i will start with the r script i started from: ? view code rsplus 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 #inspired by code here: http://moderntoolmaking.blogspot.com/2011/09/backtesting-simple-stock-trading.html #set important variables ticker <- '^gspc' start <- as. date ( '2005-01-01' ) end <- as. date ( '2012-04-01' ) period <- 10 tradingcost <- .001 riskfree <- .035 #end set important variables library ( quantmod ) library ( performanceanalytics ) bias <- function ( x,period ) { biasresult <- ( ( x - sma ( x,n = period ) ) / sma ( x,n = period ) ) * 100 } tradingrule <- function ( stock,numdays ) { close <- cl ( stock ) volume <- vo ( stock ) position <- ifelse ( ( ( bias ( close ,numdays ) + bias ( volume,numdays ) ) > 0 ) , 1 , - 1 ) } stock <- getsymbols ( ticker, from = start , to = end , auto. assign = false ) position <- tradingrule ( stock,period ) underlyingreturn <- dailyreturn ( cl ( stock ) ,type = 'arithmetic' ) rulereturn <- ifelse ( lag ( position,k = 1 ) == lag ( position,k = 2 ) ,underlyingreturn * lag ( position, 1 ) ,underlyingreturn * lag ( position, 1 ) - tradingcost ) rulereturn [ 1 : ( period + 1 ) ] <- 0 ; names ( underlyingreturn ) <- 'sp500' names ( rulereturn ) <- 'trading' charts. performancesummary ( cbind ( rulereturn,underlyingreturn ) , colorset = redfocus ) the code is minimized since it is not too important. keep in mind that r allows us to download data from yahoo, so i use quantmod to do that, rather than including it in a data step as i did in sas. here is the code minus the data step containing ohlc data to conserve screen space: ? view code sas 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 /*set length of moving average and costs of trading*/ %let n = 10 ; %let cost=.001; /*find closing moving average*/ data work.gspc ( drop = s ) ; retain s; set work.gspc; s = sum ( s, close ,-lag &n ( close ) ) ; closema = s / &n ; run ; /*find volume moving average*/ data work.gspc ( drop =s ) ; retain s; set work.gspc; s = sum ( s,volume,-lag &n ( volume ) ) ; volumema = s / &n ; run ; /*find cumulat

URL analysis for perdomocore.com

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http://www.perdomocore.com/2012/foreign-stock-tickers/#more-44
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http://www.perdomocore.com/tag/r-coding/
http://www.perdomocore.com/category/python/
http://www.perdomocore.com/2012/backtesting-a-trading-strategy-in-sas-and-r/#comments
http://www.perdomocore.com/2012/mining-facebook-with-python-for-fun-and-profit/#respond
http://www.perdomocore.com/wp-content/uploads/2012/02/rplot03.png
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Whois Information

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Domain Name: PERDOMOCORE.COM
Registry Domain ID: 335681610_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.dreamhost.com
Registrar URL: http://www.DreamHost.com
Updated Date: 2018-01-05T08:33:00Z
Creation Date: 2006-02-05T20:39:10Z
Registry Expiry Date: 2019-02-05T20:39:10Z
Registrar: DreamHost, LLC
Registrar IANA ID: 431
Registrar Abuse Contact Email:
Registrar Abuse Contact Phone:
Domain Status: ok https://icann.org/epp#ok
Name Server: NS1.DREAMHOST.COM
Name Server: NS2.DREAMHOST.COM
Name Server: NS3.DREAMHOST.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2018-08-14T14:31:26Z <<<

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  REGISTRAR DreamHost, LLC

SERVERS

  SERVER com.whois-servers.net

  ARGS domain =perdomocore.com

  PORT 43

  TYPE domain

DOMAIN

  NAME perdomocore.com

  CHANGED 2018-01-05

  CREATED 2006-02-05

STATUS
ok https://icann.org/epp#ok

NSERVER

  NS1.DREAMHOST.COM 64.90.62.230

  NS2.DREAMHOST.COM 208.97.182.10

  NS3.DREAMHOST.COM 66.33.205.230

  REGISTERED yes

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