Uses Wilson confidence intervals to rank the results of this Hacker News language poll (https://news.ycombinator.com/item?id=6527104).

hn_lang_rank.py

#!/usr/bin/python3
import re
from math import sqrt
import urllib.request

# Thanks to http://possiblywrong.wordpress.com/2011/06/05/reddits-comment-ranking-algorithm/
def confidence_fixed(ups, downs):
    if ups == 0:
        return -downs
    n = ups + downs
    z = 1.64485 #1.0 = 85%, 1.6 = 95%
    phat = float(ups) / n
    return (phat+z*z/(2*n)-z*sqrt((phat*(1-phat)+z*z/(4*n))/n))/(1+z*z/n)

raw_data = urllib.request.urlopen("https://news.ycombinator.com/item?id=6527104").read().decode("utf-8")

entry_regex = re.compile(r"""(?P<language>[^>-]+) - Like.*?(?P<upvotes>[0-9]+) points.*? - Dislike.*?(?P<downvotes>[0-9]+) points""")

matched_data = re.finditer(entry_regex, raw_data)

results = []
for entry in matched_data:
    language = entry.group("language")
    upvotes = float(entry.group("upvotes"))
    downvotes = float(entry.group("downvotes"))
    confidence = confidence_fixed(upvotes, downvotes)
    results.append((language, confidence))

results.sort(key=lambda x: -x[1])

for rank, entry in enumerate(results):
    print("%d\t%s%f" % (rank+1, entry[0].ljust(16), entry[1]))