It is a beautiful soup, but it tastes like python

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from BeautifulSoup import BeautifulSoup
import re

doc = ['<html><head><title>Page title</title></head>',
       '<body><p id="firstpara" align="center">This is paragraph <b>one</b>.',
       '<p id="secondpara" align="blah">This is paragraph <b>two</b>.<pre>Preish</pre>',
       '</html>']
soup = BeautifulSoup(''.join(doc))

print soup.prettify()
titleTag = soup.html.pre
print titleTag
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from BeautifulSoup import BeautifulSoup
import re
if __name__ == "__main__":
 fo=open('wx.html','r').read()
 soup = BeautifulSoup(fo)
 k=1
 for cod in soup.findAll('pre','code'):
  print cod.string
  newf='zorf'+str(k)
  fp=open(newf+'.py','w')
  fp.write(cod.string)
  fp.close()
  k+=1
 exit(0)

My interest is not for scraping pages for pre formatted -code-, it is to search pages for reference to specific spectral frequencies that I associate with strange matter that does not occur naturally like graphene nanotubes, plutonium or some specific spectra combinations which I would associate with a strange matter configuration. These are just constructed tools that serve as a testable base for gathering and parsing generally.

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Automated Intelligence

Automated Intelligence
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