##learnpython, historically.

Displaying statistics for September 2017.
Activity
History
JanFebMarAprMayJunJulAugSepOctNovDec
2014n/an/an/an/an/an/an/an/an/an/an/a867
201519,42916,9302,9739,76921,3658,7998,8487,19711,39012,9738,57510,610
201617,44715,77313,66815,42317,08219,65315,93514,37515,31710,7599,40810,038
201713,05820,79218,44112,44315,92216,12514,96711,53012,0087,8587,8038,691
20185,1909,16710,5378,3088,33812,7425,295n/an/an/an/an/a
Activity Distribution by Hour
  • 1.3%
  • 1.6%
  • 1.2%
  • 0.7%
  • 2.3%
  • 4.1%
  • 6.0%
  • 4.8%
  • 4.3%
  • 7.7%
  • 8.4%
  • 8.8%
  • 7.4%
  • 7.5%
  • 6.1%
  • 6.7%
  • 4.7%
  • 4.0%
  • 4.3%
  • 2.2%
  • 1.2%
  • 0.9%
  • 2.3%
  • 1.3%
0h1h2h3h4h5h6h7h8h9h10h11h12h13h14h15h16h17h18h19h20h21h22h23h
Most Talkative People – September 2017
PercentageLinesUserWhen?Last SeenQuote
11.79%1,4161Akuli
1.9 Months Agofscale, new pythons have an official standalone thing
8.28%9942boatsnbros
2 Months Agoso I figured it out Akuli, if I just make a 'sale' model then I assign that a stand and event then can just aggregate it up, feels like a little bit of a work around but isn't an issue for this use case
6.74%8093__Myst__
1.9 Months Agoboywonder: if you outline your problem exactly, people are more likely to help
5.19%6234theelous3
1.9 Months Agosave any errors for me
4.44%5335PythonBeginner
5.6 Months Agomy code is: while num_insects < 100: print num_insects num_insects = num_insects * 2
4.26%5116nuked0ne
1 Year Ago!log
4.24%5097darkf
1.9 Months Agowut, how do you iterate over the entire thing then pop something
3.31%3978mentalita
8.7 Months Agothey're so vacation-ey
2.66%3199choupi17
7.1 Months AgoI inserted 3 other approaches just to show you how cool problem solving is.
2.50%30010Zaab1t
1.9 Months Agoafricanerd: whats wrong? You forget to call url_slug when initialising coin_spec, if thats the thing
Most Talkative People by Time of Day
Night
0h - 5h
Morning
6h - 11h
Afternoon
12h - 17h
Evening
18h - 23h
1go|dfish - 107
Akuli - 848
Akuli - 568
nuked0ne - 177
2nuked0ne - 107
boatsnbros - 676
__Myst__ - 371
__Myst__ - 152
3darkf - 92
PythonBeginner - 429
boatsnbros - 268
neilp - 113
4theelous3 - 82
theelous3 - 304
theelous3 - 237
snowmancantcode - 108
5PythonBeginner - 78
__Myst__ - 242
darkf - 220
raylu - 70
6AlexNewb - 48
quotlii - 199
choupi17 - 212
Saied - 62
7__Myst__ - 44
mentalita - 165
Zaab1t - 211
choupi17 - 62
8boatsnbros - 43
pynub - 140
nuked0ne - 167
darkf - 58
9Kovy - 42
darkf - 139
mentalita - 164
loppy2 - 48
10jijith - 34
codebot - 122
fazelanvari - 134
codebot - 42
Statistics created with superseriousstats on Fri, 21 Sep 2018 04:25:38 -0700.