##learnpython, historically.

Displaying statistics for October 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
  • 1.7%
  • 2.1%
  • 4.2%
  • 3.0%
  • 1.3%
  • 1.9%
  • 4.3%
  • 4.9%
  • 5.8%
  • 7.2%
  • 8.5%
  • 8.0%
  • 4.0%
  • 5.3%
  • 4.8%
  • 6.2%
  • 6.5%
  • 5.7%
  • 1.6%
  • 2.2%
  • 1.9%
  • 4.3%
  • 2.2%
  • 2.7%
0h1h2h3h4h5h6h7h8h9h10h11h12h13h14h15h16h17h18h19h20h21h22h23h
Most Talkative People – October 2017
PercentageLinesUserWhen?Last SeenQuote
7.16%5631theelous3
23 Days Agosave any errors for me
7.08%5562boatsnbros
27 Days 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
6.21%4883Akuli
23 Days Agofscale, new pythons have an official standalone thing
4.86%3824Denton
8.3 Months Agobut the "date" field is like a key, or index (it is not mentioned in the column count)
3.81%2995darkf
24 Days Agowut, how do you iterate over the entire thing then pop something
3.44%2706snowmancantcode
8.4 Months AgoIJsbrand i had an issue with that i gave up effort and just wrapped it in a batch script
2.83%2227ghost-287
2.9 Months Agohello, and happy new year
2.62%2068codebot
25 Days Agomarky1991: IndexError: list index out of range
2.38%1879excel_girl
3.1 Months AgoHi I want to send a output text file as an email every time I run a python code successfully. is this possible?
2.33%18310learner_
3.6 Months AgoHi, can someone tell me what is wrong with this statement: "return 0 if minmax_list ==[] else pass" It was created to avoid a divide by zero error when averaging lists
Most Talkative People by Time of Day
Night
0h - 5h
Morning
6h - 11h
Afternoon
12h - 17h
Evening
18h - 23h
1readorn - 127
Akuli - 402
theelous3 - 309
snowmancantcode - 117
2worklous3 - 126
boatsnbros - 300
boatsnbros - 239
raylu - 115
3theelous3 - 115
Denton - 226
Denton - 156
fazelanvari - 94
4darkf - 60
rayne - 121
snowmancantcode - 153
Ciroed - 87
5asunder - 59
theelous3 - 117
excel_girl - 145
darkf - 77
6nblade42 - 55
guesthelp - 108
learner_ - 130
learnpythontaa - 72
7GPenguin - 49
ghost-287 - 91
darkf - 94
ddawg - 48
8go|dfish - 47
nblade42 - 88
ghost-287 - 91
Talen - 47
9Talen - 33
codebot - 85
Akuli - 86
Stuzz - 44
10LearningREGpytho - 27
marky1991 - 81
bst_help - 81
SpamCL - 40
Statistics created with superseriousstats on Fri, 17 Aug 2018 01:03:25 -0700.