Re: [Tutor] Top posters for 2009
On Thu, 25 Feb 2010 21:53:24 -0500 Kent Johnson ken...@tds.net wrote: 2009 (7730 posts, 709 posters) Alan Gauld 969 (12.5%) Kent Johnson 804 (10.4%) Dave Angel 254 (3.3%) spir 254 (3.3%) Wayne Watson 222 (2.9%) I hope Dave is as thin as I am (*). Denis (*) for us to be able to climb on the same step of the podium ;-) -- la vita e estrany spir.wikidot.com ___ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor
Re: [Tutor] Top posters for 2009
On Fri, 26 Feb 2010 09:27:04 +0530 Shashwat Anand anand.shash...@gmail.com wrote: @Kent: thanks for the script. It is kool. Here is 2010 list of Top-20 (as of now): 2010 (1155 posts, 204 posters) Alan Gauld 127 (11.0%) Kent Johnson 108 (9.4%) spir 52 (4.5%) Wayne Watson 46 (4.0%) Luke Paireepinart 32 (2.8%) Shashwat Anand 30 (2.6%) Wayne Werner 29 (2.5%) Steven D'Aprano 28 (2.4%) I think and hope Steven will fast climb up. His posts beeing so accurate and informative for me. Denis -- la vita e estrany spir.wikidot.com ___ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor
Re: [Tutor] Top posters for 2009
Shashwat Anand, 26.02.2010 04:57:
@Kent: thanks for the script. It is kool.
Here is 2010 list of Top-20 (as of now):
2010 (1155 posts, 204 posters)
Alan Gauld 127 (11.0%)
Kent Johnson 108 (9.4%)
spir 52 (4.5%)
Wayne Watson 46 (4.0%)
Luke Paireepinart 32 (2.8%)
Shashwat Anand 30 (2.6%)
Wayne Werner 29 (2.5%)
Steven D'Aprano 28 (2.4%)
Stefan Behnel 24 (2.1%)
Dave Angel 22 (1.9%)
Lie Ryan 19 (1.6%)
Hugo Arts 16 (1.4%)
Benno Lang 14 (1.2%)
David 14 (1.2%)
Giorgio 14 (1.2%)
Serdar Tumgoren 14 (1.2%)
Grigor Kolev 13 (1.1%)
Eike Welk 13 (1.1%)
Christian Witts 12 (1.0%)
invincible patriot 12 (1.0%)
No more spamming now :P
~l0nwlf
On Fri, Feb 26, 2010 at 9:10 AM, Shashwat Anand
anand.shash...@gmail.comwrote:
How about Top-40 posters (so that I can make the cut..Yayyy) :P
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Andre Engels 61 (0.8%)
Rich Lovely 60 (0.8%)
Christian Witts 57 (0.7%)
Martin Walsh 51 (0.7%)
Eduardo Vieira 47 (0.6%)
Tim Golden 47 (0.6%)
prasad rao 47 (0.6%)
Dinesh B Vadhia 47 (0.6%)
John Fouhy 42 (0.5%)
Norman Khine 41 (0.5%)
Che M 41 (0.5%)
Stephen Nelson-Smith 40 (0.5%)
Mark Tolonen 40 (0.5%)
Chris Fuller 38 (0.5%)
Stefan Behnel 35 (0.5%)
Wayne Werner 34 (0.4%)
Steve Willoughby 32 (0.4%)
Shashwat Anand 32 (0.4%)
Eike Welk 31 (0.4%)
Albert-Jan Roskam 30 (0.4%)
~l0nwlf
On Fri, Feb 26, 2010 at 9:04 AM, Shashwat Anand
anand.shash...@gmail.comwrote:
nice. Kudos to all top posters. May be I should search my rank ;)
~l0nwlf
On Fri, Feb 26, 2010 at 8:23 AM, Kent Johnson ken...@tds.net wrote:
It's not really about keeping score :-), but once again I've compiled
a list of the top 20 posters to the tutor list for the last year. For
2009, the rankings are
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Alan, congratulations, you pulled ahead of me for the first time in
years! You posted more than in 2008, I posted less. Overall posts are
up from last year, which was the slowest year since I started
measuring (2003).
Thank you to everyone who asks and answers questions here!
The rankings are compiled by scraping the monthly author pages from
the tutor archives, using Beautiful Soup to extract author names. I
consolidate counts for different capitalizations of the same name but
not for different spellings. The script is below.
Kent
''' Counts all posts to Python-tutor by author'''
# -*- coding: latin-1 -*-
from datetime import date, timedelta
import operator, urllib2
from BeautifulSoup import BeautifulSoup
today = date.today()
for year in range(2009, 2010):
startDate = date(year, 1, 1)
endDate = date(year, 12, 31)
thirtyOne = timedelta(days=31)
counts = {}
# Collect all the counts for a year by scraping the monthly author
archive pages
while startDate endDate and startDate today:
dateString = startDate.strftime('%Y-%B')
url = 'http://mail.python.org/pipermail/tutor/%s/author.html'
% dateString
data = urllib2.urlopen(url).read()
soup = BeautifulSoup(data)
li = soup.findAll('li')[2:-2]
for l in li:
name = l.i.string.strip()
counts[name] = counts.get(name, 0) + 1
startDate += thirtyOne
# Consolidate names that vary by case under the most popular spelling
nameMap = dict() # Map lower-case name to most popular name
# Use counts.items() so we can delete from the dict.
for name, count in sorted(counts.items(),
key=operator.itemgetter(1), reverse=True):
lower = name.lower()
if lower in nameMap:
# Add counts for a name we have seen already and remove the
duplicate
counts[nameMap[lower]] += count
del counts[name]
else:
nameMap[lower] = name
totalPosts = sum(counts.itervalues())
posters = len(counts)
print
print '%s (%s posts, %s posters)' % (year, totalPosts, posters)
print ''
for name, count in sorted(counts.iteritems(),
key=operator.itemgetter(1), reverse=True)[:20]:
pct =
Re: [Tutor] Top posters for 2009
nice. Kudos to all top posters. May be I should search my rank ;)
~l0nwlf
On Fri, Feb 26, 2010 at 8:23 AM, Kent Johnson ken...@tds.net wrote:
It's not really about keeping score :-), but once again I've compiled
a list of the top 20 posters to the tutor list for the last year. For
2009, the rankings are
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Alan, congratulations, you pulled ahead of me for the first time in
years! You posted more than in 2008, I posted less. Overall posts are
up from last year, which was the slowest year since I started
measuring (2003).
Thank you to everyone who asks and answers questions here!
The rankings are compiled by scraping the monthly author pages from
the tutor archives, using Beautiful Soup to extract author names. I
consolidate counts for different capitalizations of the same name but
not for different spellings. The script is below.
Kent
''' Counts all posts to Python-tutor by author'''
# -*- coding: latin-1 -*-
from datetime import date, timedelta
import operator, urllib2
from BeautifulSoup import BeautifulSoup
today = date.today()
for year in range(2009, 2010):
startDate = date(year, 1, 1)
endDate = date(year, 12, 31)
thirtyOne = timedelta(days=31)
counts = {}
# Collect all the counts for a year by scraping the monthly author
archive pages
while startDate endDate and startDate today:
dateString = startDate.strftime('%Y-%B')
url = 'http://mail.python.org/pipermail/tutor/%s/author.html'
% dateString
data = urllib2.urlopen(url).read()
soup = BeautifulSoup(data)
li = soup.findAll('li')[2:-2]
for l in li:
name = l.i.string.strip()
counts[name] = counts.get(name, 0) + 1
startDate += thirtyOne
# Consolidate names that vary by case under the most popular spelling
nameMap = dict() # Map lower-case name to most popular name
# Use counts.items() so we can delete from the dict.
for name, count in sorted(counts.items(),
key=operator.itemgetter(1), reverse=True):
lower = name.lower()
if lower in nameMap:
# Add counts for a name we have seen already and remove the
duplicate
counts[nameMap[lower]] += count
del counts[name]
else:
nameMap[lower] = name
totalPosts = sum(counts.itervalues())
posters = len(counts)
print
print '%s (%s posts, %s posters)' % (year, totalPosts, posters)
print ''
for name, count in sorted(counts.iteritems(),
key=operator.itemgetter(1), reverse=True)[:20]:
pct = round(100.0*count/totalPosts, 1)
print '%s %s (%s%%)' % (name.encode('utf-8',
'xmlcharrefreplace'), count, pct)
print
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Re: [Tutor] Top posters for 2009
How about Top-40 posters (so that I can make the cut..Yayyy) :P
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Andre Engels 61 (0.8%)
Rich Lovely 60 (0.8%)
Christian Witts 57 (0.7%)
Martin Walsh 51 (0.7%)
Eduardo Vieira 47 (0.6%)
Tim Golden 47 (0.6%)
prasad rao 47 (0.6%)
Dinesh B Vadhia 47 (0.6%)
John Fouhy 42 (0.5%)
Norman Khine 41 (0.5%)
Che M 41 (0.5%)
Stephen Nelson-Smith 40 (0.5%)
Mark Tolonen 40 (0.5%)
Chris Fuller 38 (0.5%)
Stefan Behnel 35 (0.5%)
Wayne Werner 34 (0.4%)
Steve Willoughby 32 (0.4%)
Shashwat Anand 32 (0.4%)
Eike Welk 31 (0.4%)
Albert-Jan Roskam 30 (0.4%)
~l0nwlf
On Fri, Feb 26, 2010 at 9:04 AM, Shashwat Anand anand.shash...@gmail.comwrote:
nice. Kudos to all top posters. May be I should search my rank ;)
~l0nwlf
On Fri, Feb 26, 2010 at 8:23 AM, Kent Johnson ken...@tds.net wrote:
It's not really about keeping score :-), but once again I've compiled
a list of the top 20 posters to the tutor list for the last year. For
2009, the rankings are
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Alan, congratulations, you pulled ahead of me for the first time in
years! You posted more than in 2008, I posted less. Overall posts are
up from last year, which was the slowest year since I started
measuring (2003).
Thank you to everyone who asks and answers questions here!
The rankings are compiled by scraping the monthly author pages from
the tutor archives, using Beautiful Soup to extract author names. I
consolidate counts for different capitalizations of the same name but
not for different spellings. The script is below.
Kent
''' Counts all posts to Python-tutor by author'''
# -*- coding: latin-1 -*-
from datetime import date, timedelta
import operator, urllib2
from BeautifulSoup import BeautifulSoup
today = date.today()
for year in range(2009, 2010):
startDate = date(year, 1, 1)
endDate = date(year, 12, 31)
thirtyOne = timedelta(days=31)
counts = {}
# Collect all the counts for a year by scraping the monthly author
archive pages
while startDate endDate and startDate today:
dateString = startDate.strftime('%Y-%B')
url = 'http://mail.python.org/pipermail/tutor/%s/author.html'
% dateString
data = urllib2.urlopen(url).read()
soup = BeautifulSoup(data)
li = soup.findAll('li')[2:-2]
for l in li:
name = l.i.string.strip()
counts[name] = counts.get(name, 0) + 1
startDate += thirtyOne
# Consolidate names that vary by case under the most popular spelling
nameMap = dict() # Map lower-case name to most popular name
# Use counts.items() so we can delete from the dict.
for name, count in sorted(counts.items(),
key=operator.itemgetter(1), reverse=True):
lower = name.lower()
if lower in nameMap:
# Add counts for a name we have seen already and remove the
duplicate
counts[nameMap[lower]] += count
del counts[name]
else:
nameMap[lower] = name
totalPosts = sum(counts.itervalues())
posters = len(counts)
print
print '%s (%s posts, %s posters)' % (year, totalPosts, posters)
print ''
for name, count in sorted(counts.iteritems(),
key=operator.itemgetter(1), reverse=True)[:20]:
pct = round(100.0*count/totalPosts, 1)
print '%s %s (%s%%)' % (name.encode('utf-8',
'xmlcharrefreplace'), count, pct)
print
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Re: [Tutor] Top posters for 2009
@Kent: thanks for the script. It is kool.
Here is 2010 list of Top-20 (as of now):
2010 (1155 posts, 204 posters)
Alan Gauld 127 (11.0%)
Kent Johnson 108 (9.4%)
spir 52 (4.5%)
Wayne Watson 46 (4.0%)
Luke Paireepinart 32 (2.8%)
Shashwat Anand 30 (2.6%)
Wayne Werner 29 (2.5%)
Steven D'Aprano 28 (2.4%)
Stefan Behnel 24 (2.1%)
Dave Angel 22 (1.9%)
Lie Ryan 19 (1.6%)
Hugo Arts 16 (1.4%)
Benno Lang 14 (1.2%)
David 14 (1.2%)
Giorgio 14 (1.2%)
Serdar Tumgoren 14 (1.2%)
Grigor Kolev 13 (1.1%)
Eike Welk 13 (1.1%)
Christian Witts 12 (1.0%)
invincible patriot 12 (1.0%)
No more spamming now :P
~l0nwlf
On Fri, Feb 26, 2010 at 9:10 AM, Shashwat Anand anand.shash...@gmail.comwrote:
How about Top-40 posters (so that I can make the cut..Yayyy) :P
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Andre Engels 61 (0.8%)
Rich Lovely 60 (0.8%)
Christian Witts 57 (0.7%)
Martin Walsh 51 (0.7%)
Eduardo Vieira 47 (0.6%)
Tim Golden 47 (0.6%)
prasad rao 47 (0.6%)
Dinesh B Vadhia 47 (0.6%)
John Fouhy 42 (0.5%)
Norman Khine 41 (0.5%)
Che M 41 (0.5%)
Stephen Nelson-Smith 40 (0.5%)
Mark Tolonen 40 (0.5%)
Chris Fuller 38 (0.5%)
Stefan Behnel 35 (0.5%)
Wayne Werner 34 (0.4%)
Steve Willoughby 32 (0.4%)
Shashwat Anand 32 (0.4%)
Eike Welk 31 (0.4%)
Albert-Jan Roskam 30 (0.4%)
~l0nwlf
On Fri, Feb 26, 2010 at 9:04 AM, Shashwat Anand
anand.shash...@gmail.comwrote:
nice. Kudos to all top posters. May be I should search my rank ;)
~l0nwlf
On Fri, Feb 26, 2010 at 8:23 AM, Kent Johnson ken...@tds.net wrote:
It's not really about keeping score :-), but once again I've compiled
a list of the top 20 posters to the tutor list for the last year. For
2009, the rankings are
2009 (7730 posts, 709 posters)
Alan Gauld 969 (12.5%)
Kent Johnson 804 (10.4%)
Dave Angel 254 (3.3%)
spir 254 (3.3%)
Wayne Watson 222 (2.9%)
bob gailer 191 (2.5%)
Lie Ryan 186 (2.4%)
David 127 (1.6%)
Emile van Sebille 115 (1.5%)
Wayne 112 (1.4%)
Sander Sweers 111 (1.4%)
Serdar Tumgoren 100 (1.3%)
Luke Paireepinart 99 (1.3%)
wesley chun 99 (1.3%)
W W 74 (1.0%)
Marc Tompkins 72 (0.9%)
A.T.Hofkamp 71 (0.9%)
Robert Berman 68 (0.9%)
vince spicer 63 (0.8%)
Emad Nawfal 62 (0.8%)
Alan, congratulations, you pulled ahead of me for the first time in
years! You posted more than in 2008, I posted less. Overall posts are
up from last year, which was the slowest year since I started
measuring (2003).
Thank you to everyone who asks and answers questions here!
The rankings are compiled by scraping the monthly author pages from
the tutor archives, using Beautiful Soup to extract author names. I
consolidate counts for different capitalizations of the same name but
not for different spellings. The script is below.
Kent
''' Counts all posts to Python-tutor by author'''
# -*- coding: latin-1 -*-
from datetime import date, timedelta
import operator, urllib2
from BeautifulSoup import BeautifulSoup
today = date.today()
for year in range(2009, 2010):
startDate = date(year, 1, 1)
endDate = date(year, 12, 31)
thirtyOne = timedelta(days=31)
counts = {}
# Collect all the counts for a year by scraping the monthly author
archive pages
while startDate endDate and startDate today:
dateString = startDate.strftime('%Y-%B')
url = 'http://mail.python.org/pipermail/tutor/%s/author.html'
% dateString
data = urllib2.urlopen(url).read()
soup = BeautifulSoup(data)
li = soup.findAll('li')[2:-2]
for l in li:
name = l.i.string.strip()
counts[name] = counts.get(name, 0) + 1
startDate += thirtyOne
# Consolidate names that vary by case under the most popular spelling
nameMap = dict() # Map lower-case name to most popular name
# Use counts.items() so we can delete from the dict.
for name, count in sorted(counts.items(),
key=operator.itemgetter(1), reverse=True):
lower = name.lower()
if lower in nameMap:
# Add counts for a name we have seen already and remove the
duplicate
counts[nameMap[lower]] += count
del counts[name]
else:
nameMap[lower] = name
totalPosts = sum(counts.itervalues())
posters = len(counts)
print
print '%s (%s posts, %s posters)' % (year, totalPosts, posters)
print ''
for name, count in sorted(counts.iteritems(),
key=operator.itemgetter(1), reverse=True)[:20]:
pct = round(100.0*count/totalPosts, 1)
print '%s %s (%s%%)' %
