tdsmith

> a <- 1
> b <- 2
> a = b = 3
> a
[1] 3
> b
[1] 3

tdsmith

> a <- c(1,2)
> b <- as.integer(a)
> is.numeric(a)
[1] TRUE
> is.numeric(b)
[1] TRUE
> is.double(b)
[1] FALSE

tdsmith

javascript:(function(){l=document.location;rot13=function(str){return str.replace(/[a-zA-Z]/g,function(c){return String.fromCharCode((c<='Z'?90:122)>=(c=c.charCodeAt(0)+13)?c:c-26);});};url='https://vpn.nacs.uci.edu/+CSCO+'+'00'+rot13(l.protocol+'//'+l.host).replace(/[\s\S]/g,function(s){return parseInt(s.charCodeAt()).toString(16);})+'++'+l.pathname+l.search+l.hash;window.location.href=url;})()

tdsmith

darkside:Desktop tim$ python uh2.py 
outer
	inner
	inner
	inner
outer
	inner
	inner
	inner

tdsmith

restos.tab
    # tab-separated values
    # now we have the restaurant list in a table
    # the table has, in tab-separated columns:
    # 0: restaurant name
    # 1: unit, street address
    # 2: jurisdiction (not quite city)
    # 3: date of last inspection (DD-Mon-YYYY)
    # 4: Restaurant GUID

tdsmith

#!/usr/bin/python

from BeautifulSoup import BeautifulStoneSoup

f = open('VCH Restaurant Data.kml', 'r')
buf = f.read()
f.close()

soup = BeautifulStoneSoup(buf)
for placemark in soup.findAll('placemark'):