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from urllib2 import urlopen
from lxml.etree import parse

HOSTNAME = 'http://kozbeszerzes.ceu.hu'

otp = parse(urlopen(HOSTNAME + '/entity/t/10537914.xml'))
for tender in otp.xpath('//all_tenders_won/tender'):
  print urlopen(HOSTNAME + tender.attrib['url'])

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#! /bin/bash
# Wrapper for "stata -b" which issues an informative error msg and appropriate
# (i.e., non-zero) return code

# The basic idea for this script (including grepping the log file to determine
# whether there was an error) was taken from a similar script posted by Brendan
# Halpin on his blog at http://teaching.sociology.ul.ie/bhalpin/wordpress/?p=122

args=$#  # number of args

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from skimage.feature import blob_log
from skimage.exposure import equalize_hist
from PIL import Image
from numpy import asarray

photo = Image.open("drone2.png").convert(mode="L")
ndarray = equalize_hist(asarray(photo))

blobs_log = blob_log(ndarray, min_sigma=1, max_sigma=50, num_sigma=20, threshold=.1)
print len(blobs_log)

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#! /bin/bash
# Wrapper for "stata -b" which issues an informative error msg and appropriate
# (i.e., non-zero) return code

# The basic idea for this script (including grepping the log file to determine
# whether there was an error) was taken from a similar script posted by Brendan
# Halpin on his blog at http://teaching.sociology.ul.ie/bhalpin/wordpress/?p=122

args=$#  # number of args

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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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This line chart is constructed from a TSV file storing the daily average temperatures of New York, San Francisco and Austin over the last year. The chart employs conventional margins and a number of D3 features:

• d3.tsv - load and parse data
• d3.time.format - parse dates
• d3.time.scale - x-position encoding
• d3.scale.linear - y-position encoding
• d3.scale.category10, a d3.scale.ordinal - color encoding
• d3.extent, d3.min and d3.max - compute domains
• [d3.k

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