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pythondev | help | I'm confused, are you re-sorting the dictionary every time you ask for one of its entries? | 2017-10-05T15:16:39.000602 | Sirena | pythondev_help_Sirena_2017-10-05T15:16:39.000602 | 1,507,216,599.000602 | 96,103 |
pythondev | help | if you pick 3 entries from your dictionary, what output are you expecting, and what are you getting? | 2017-10-05T15:17:16.000390 | Sirena | pythondev_help_Sirena_2017-10-05T15:17:16.000390 | 1,507,216,636.00039 | 96,104 |
pythondev | help | Ya - I am re-sorting the dict every time I ask for a rank, which is dumb so i should definitely re-do that.
For example, I have 3 keys, all with scores of 100: `{'key1': 100, 'key2': 100, 'key3': 100, 'key4': 50}`. It's currently returning ranks like 'key1'=3, 'key2'=3, 'key3'=3, 'key4'=4, but I want it as 'key1'=1, 'key2'=1, 'key3'=1, 'key4'=4 | 2017-10-05T15:19:31.000057 | Dominick | pythondev_help_Dominick_2017-10-05T15:19:31.000057 | 1,507,216,771.000057 | 96,105 |
pythondev | help | when I run that, I get 1,1,1,4 | 2017-10-05T15:22:14.000716 | Sirena | pythondev_help_Sirena_2017-10-05T15:22:14.000716 | 1,507,216,934.000716 | 96,106 |
pythondev | help | <@Sirena> I'm very glad you said that cause I read through the code like 3 times and thought it looked like it was working as wanted | 2017-10-05T15:22:52.000272 | Antionette | pythondev_help_Antionette_2017-10-05T15:22:52.000272 | 1,507,216,972.000272 | 96,107 |
pythondev | help | because the rank only updates after a change in value | 2017-10-05T15:23:20.000345 | Antionette | pythondev_help_Antionette_2017-10-05T15:23:20.000345 | 1,507,217,000.000345 | 96,108 |
pythondev | help | It's strange - it actually works for most of my dicts, but on a couple it gives the behavior I described. | 2017-10-05T15:23:48.000166 | Dominick | pythondev_help_Dominick_2017-10-05T15:23:48.000166 | 1,507,217,028.000166 | 96,109 |
pythondev | help | for the ones where it doesn't work are the values classes instead of a simple data type? | 2017-10-05T15:24:23.000198 | Antionette | pythondev_help_Antionette_2017-10-05T15:24:23.000198 | 1,507,217,063.000198 | 96,110 |
pythondev | help | Nope...it's a django aggregation (`Avg`). | 2017-10-05T15:25:19.000435 | Dominick | pythondev_help_Dominick_2017-10-05T15:25:19.000435 | 1,507,217,119.000435 | 96,111 |
pythondev | help | Of a `FloatField` | 2017-10-05T15:26:06.000289 | Dominick | pythondev_help_Dominick_2017-10-05T15:26:06.000289 | 1,507,217,166.000289 | 96,112 |
pythondev | help | can you print an exact example of one of the dicts that doesn't work? | 2017-10-05T15:37:52.000441 | Antionette | pythondev_help_Antionette_2017-10-05T15:37:52.000441 | 1,507,217,872.000441 | 96,113 |
pythondev | help | When I dumped that same dict to a json and ran the `get_rank` function outside of Django it returned all the 100's as ranking 113... | 2017-10-05T15:38:10.000406 | Dominick | pythondev_help_Dominick_2017-10-05T15:38:10.000406 | 1,507,217,890.000406 | 96,114 |
pythondev | help | Ya it's just really long, but I'll post the dict in a snippet. | 2017-10-05T15:38:18.000298 | Dominick | pythondev_help_Dominick_2017-10-05T15:38:18.000298 | 1,507,217,898.000298 | 96,115 |
pythondev | help | All those values of 999999 are just there to be ranked last automatically. | 2017-10-05T15:39:13.000059 | Dominick | pythondev_help_Dominick_2017-10-05T15:39:13.000059 | 1,507,217,953.000059 | 96,116 |
pythondev | help | this is tricky, nothing stands out to me as why that would be. python version? | 2017-10-05T15:54:35.000466 | Antionette | pythondev_help_Antionette_2017-10-05T15:54:35.000466 | 1,507,218,875.000466 | 96,117 |
pythondev | help | 3.5.2 | 2017-10-05T16:01:22.000378 | Dominick | pythondev_help_Dominick_2017-10-05T16:01:22.000378 | 1,507,219,282.000378 | 96,118 |
pythondev | help | Did you get those same weird results? | 2017-10-05T16:01:26.000353 | Dominick | pythondev_help_Dominick_2017-10-05T16:01:26.000353 | 1,507,219,286.000353 | 96,119 |
pythondev | help | maybe, but it looks like there are values less than 100 (`"13801": 96.0`) so I'm not sure what the expected behavior is | 2017-10-05T16:04:51.000116 | Antionette | pythondev_help_Antionette_2017-10-05T16:04:51.000116 | 1,507,219,491.000116 | 96,120 |
pythondev | help | well...say there are fifty scores of 100. I want it to rank all those 50 as rank #1, then rank the next highest score of 99.0 (or whatever) as rank #51. Right now it's ranking all those fifty scores of 100 as rank #50, then the next highest score is ranked #51. | 2017-10-05T16:08:05.000536 | Dominick | pythondev_help_Dominick_2017-10-05T16:08:05.000536 | 1,507,219,685.000536 | 96,121 |
pythondev | help | I'm assuming if 100 is the first number though right? | 2017-10-05T16:08:36.000076 | Antionette | pythondev_help_Antionette_2017-10-05T16:08:36.000076 | 1,507,219,716.000076 | 96,122 |
pythondev | help | do you know what 100 should be in your example | 2017-10-05T16:08:46.000277 | Antionette | pythondev_help_Antionette_2017-10-05T16:08:46.000277 | 1,507,219,726.000277 | 96,123 |
pythondev | help | ohhhhhh wait I think I know what's happening | 2017-10-05T16:09:23.000006 | Dominick | pythondev_help_Dominick_2017-10-05T16:09:23.000006 | 1,507,219,763.000006 | 96,124 |
pythondev | help | its ranking 999999 higher than 100 (obviously). Later on I change those 999999 to 'N/A' values in the table. | 2017-10-05T16:09:57.000171 | Dominick | pythondev_help_Dominick_2017-10-05T16:09:57.000171 | 1,507,219,797.000171 | 96,125 |
pythondev | help | that's definitely the issue - thanks for getting me to the solution haha :slightly_smiling_face: | 2017-10-05T16:10:21.000258 | Dominick | pythondev_help_Dominick_2017-10-05T16:10:21.000258 | 1,507,219,821.000258 | 96,126 |
pythondev | help | lol pn | 2017-10-05T16:10:53.000427 | Antionette | pythondev_help_Antionette_2017-10-05T16:10:53.000427 | 1,507,219,853.000427 | 96,127 |
pythondev | help | np | 2017-10-05T16:10:54.000436 | Antionette | pythondev_help_Antionette_2017-10-05T16:10:54.000436 | 1,507,219,854.000436 | 96,128 |
pythondev | help | ah you were not reversing | 2017-10-05T16:11:19.000193 | Antionette | pythondev_help_Antionette_2017-10-05T16:11:19.000193 | 1,507,219,879.000193 | 96,129 |
pythondev | help | I thought you were going in ascending ordering | 2017-10-05T16:11:37.000286 | Antionette | pythondev_help_Antionette_2017-10-05T16:11:37.000286 | 1,507,219,897.000286 | 96,130 |
pythondev | help | because of the 99999s lol | 2017-10-05T16:11:52.000156 | Antionette | pythondev_help_Antionette_2017-10-05T16:11:52.000156 | 1,507,219,912.000156 | 96,131 |
pythondev | help | so that makes sense | 2017-10-05T16:11:56.000141 | Antionette | pythondev_help_Antionette_2017-10-05T16:11:56.000141 | 1,507,219,916.000141 | 96,132 |
pythondev | help | glad you got it | 2017-10-05T16:12:02.000091 | Antionette | pythondev_help_Antionette_2017-10-05T16:12:02.000091 | 1,507,219,922.000091 | 96,133 |
pythondev | help | haha ya - that took an embarrassingly long time to realize my mistake | 2017-10-05T16:14:04.000567 | Dominick | pythondev_help_Dominick_2017-10-05T16:14:04.000567 | 1,507,220,044.000567 | 96,134 |
pythondev | help | I am wondering, does Wheel specification provide any security for binaries? how can we be certain that the compiled extension hosted on Pypi is really compiled from that src that author states? (besides compiling by ourserves and checking diff)? | 2017-10-05T16:30:54.000639 | Carlotta | pythondev_help_Carlotta_2017-10-05T16:30:54.000639 | 1,507,221,054.000639 | 96,135 |
pythondev | help | I'm almost certain it doesn't | 2017-10-05T16:37:05.000572 | Ciera | pythondev_help_Ciera_2017-10-05T16:37:05.000572 | 1,507,221,425.000572 | 96,136 |
pythondev | help | for sqlalchemy, isthere a proper standard on returning db results as json? | 2017-10-05T18:08:39.000461 | Bruno | pythondev_help_Bruno_2017-10-05T18:08:39.000461 | 1,507,226,919.000461 | 96,137 |
pythondev | help | looks like marshmallow is the best case. | 2017-10-05T18:09:38.000408 | Bruno | pythondev_help_Bruno_2017-10-05T18:09:38.000408 | 1,507,226,978.000408 | 96,138 |
pythondev | help | the pycoverage issue? nope :confused: | 2017-10-05T18:15:42.000056 | Marcie | pythondev_help_Marcie_2017-10-05T18:15:42.000056 | 1,507,227,342.000056 | 96,139 |
pythondev | help | <@Collette> or anyone know how to get celery to connect to rabbit using ssl? | 2017-10-05T22:09:41.000207 | Signe | pythondev_help_Signe_2017-10-05T22:09:41.000207 | 1,507,241,381.000207 | 96,140 |
pythondev | help | <@Signe> <http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-broker_use_ssl>? | 2017-10-05T22:12:29.000103 | Mallie | pythondev_help_Mallie_2017-10-05T22:12:29.000103 | 1,507,241,549.000103 | 96,141 |
pythondev | help | Oh, have to use pyamqp? Interesting... | 2017-10-05T22:15:41.000078 | Signe | pythondev_help_Signe_2017-10-05T22:15:41.000078 | 1,507,241,741.000078 | 96,142 |
pythondev | help | Thanks | 2017-10-05T22:15:46.000067 | Signe | pythondev_help_Signe_2017-10-05T22:15:46.000067 | 1,507,241,746.000067 | 96,143 |
pythondev | help | Perhaps, never done it myself, seems that way... | 2017-10-05T22:16:55.000045 | Mallie | pythondev_help_Mallie_2017-10-05T22:16:55.000045 | 1,507,241,815.000045 | 96,144 |
pythondev | help | Hello, everyone. | 2017-10-05T22:45:40.000046 | Jessia | pythondev_help_Jessia_2017-10-05T22:45:40.000046 | 1,507,243,540.000046 | 96,145 |
pythondev | help | I have some problem with hooking of git. | 2017-10-05T22:46:03.000109 | Jessia | pythondev_help_Jessia_2017-10-05T22:46:03.000109 | 1,507,243,563.000109 | 96,146 |
pythondev | help | I think, this is the problem with sys.argv[1:4] | 2017-10-05T22:47:32.000046 | Jessia | pythondev_help_Jessia_2017-10-05T22:47:32.000046 | 1,507,243,652.000046 | 96,147 |
pythondev | help | There is no value in sys.argv[1:4] | 2017-10-05T22:47:50.000070 | Jessia | pythondev_help_Jessia_2017-10-05T22:47:50.000070 | 1,507,243,670.00007 | 96,148 |
pythondev | help | When i catch the exception, it goes to apport_python_hook.py . | 2017-10-05T22:49:30.000117 | Jessia | pythondev_help_Jessia_2017-10-05T22:49:30.000117 | 1,507,243,770.000117 | 96,149 |
pythondev | help | finally:
# resume original processing to get the default behaviour,
# but do not trigger an AttributeError on interpreter shutdown.
if sys:
sys.__excepthook__(exc_type, exc_obj, exc_tb) | 2017-10-05T22:49:35.000046 | Jessia | pythondev_help_Jessia_2017-10-05T22:49:35.000046 | 1,507,243,775.000046 | 96,150 |
pythondev | help | Finally, goes to here and dead, does not work... | 2017-10-05T22:50:14.000098 | Jessia | pythondev_help_Jessia_2017-10-05T22:50:14.000098 | 1,507,243,814.000098 | 96,151 |
pythondev | help | Does anyone have any good recommendations for a redis tutorial? | 2017-10-05T23:37:47.000006 | Winnifred | pythondev_help_Winnifred_2017-10-05T23:37:47.000006 | 1,507,246,667.000006 | 96,152 |
pythondev | help | For some reason, flask is 200'ing a file that should be 404'ing. I've restarted the app but its still occuring. | 2017-10-06T02:27:06.000056 | Kayce | pythondev_help_Kayce_2017-10-06T02:27:06.000056 | 1,507,256,826.000056 | 96,153 |
pythondev | help | u sure, that file is not there | 2017-10-06T02:33:26.000250 | Arlene | pythondev_help_Arlene_2017-10-06T02:33:26.000250 | 1,507,257,206.00025 | 96,154 |
pythondev | help | maybe trailing `/` in path can cause issues as well | 2017-10-06T02:36:54.000018 | Arlene | pythondev_help_Arlene_2017-10-06T02:36:54.000018 | 1,507,257,414.000018 | 96,155 |
pythondev | help | Oddly enough, yeah.
Im the HTML I've got a `<script src="/static/js/bundle.js"></script>` tag going. I've deliberately rm'd it to have a slightly clean environment (its webpack generated). | 2017-10-06T02:37:13.000101 | Kayce | pythondev_help_Kayce_2017-10-06T02:37:13.000101 | 1,507,257,433.000101 | 96,156 |
pythondev | help | *in | 2017-10-06T02:37:18.000007 | Kayce | pythondev_help_Kayce_2017-10-06T02:37:18.000007 | 1,507,257,438.000007 | 96,157 |
pythondev | help | there u go :slightly_smiling_face: | 2017-10-06T02:37:38.000164 | Arlene | pythondev_help_Arlene_2017-10-06T02:37:38.000164 | 1,507,257,458.000164 | 96,158 |
pythondev | help | Thing is, I'm not running webpack at the moment. | 2017-10-06T02:37:52.000164 | Kayce | pythondev_help_Kayce_2017-10-06T02:37:52.000164 | 1,507,257,472.000164 | 96,159 |
pythondev | help | I fail to see what's wrong with the path. =/ | 2017-10-06T02:40:06.000181 | Kayce | pythondev_help_Kayce_2017-10-06T02:40:06.000181 | 1,507,257,606.000181 | 96,160 |
pythondev | help | possible it's in your browser cache or something ? | 2017-10-06T02:41:37.000193 | Ciera | pythondev_help_Ciera_2017-10-06T02:41:37.000193 | 1,507,257,697.000193 | 96,161 |
pythondev | help | Woahhhh I just notice something weird, Is there a difference between 127.0.0.1 and localhost? | 2017-10-06T02:42:56.000145 | Kayce | pythondev_help_Kayce_2017-10-06T02:42:56.000145 | 1,507,257,776.000145 | 96,162 |
pythondev | help | <@Ciera> I was thinking that could be the case.
localhost:5000 seems to be serving cached files. The flask server only logs a couple requests but chrome sees many, whereas if I point my browser to 127.0.0.1:5000 then the flask logs show that all files are being uploaded and I am now able to see my missing bundle.js (as expected). | 2017-10-06T02:47:38.000179 | Kayce | pythondev_help_Kayce_2017-10-06T02:47:38.000179 | 1,507,258,058.000179 | 96,163 |
pythondev | help | :thumbsup: | 2017-10-06T02:48:38.000026 | Ciera | pythondev_help_Ciera_2017-10-06T02:48:38.000026 | 1,507,258,118.000026 | 96,164 |
pythondev | help | I still fail to see why `localhost:5000 != 127.0.0.1:5000` | 2017-10-06T02:49:32.000008 | Kayce | pythondev_help_Kayce_2017-10-06T02:49:32.000008 | 1,507,258,172.000008 | 96,165 |
pythondev | help | it's the same but chrome cache might handle it like two different address | 2017-10-06T02:50:27.000148 | Ciera | pythondev_help_Ciera_2017-10-06T02:50:27.000148 | 1,507,258,227.000148 | 96,166 |
pythondev | help | so a cache for localhost and a different one for 127.0.0.1 | 2017-10-06T02:50:46.000164 | Ciera | pythondev_help_Ciera_2017-10-06T02:50:46.000164 | 1,507,258,246.000164 | 96,167 |
pythondev | help | devtools cache should be disabled =/ | 2017-10-06T02:51:48.000119 | Kayce | pythondev_help_Kayce_2017-10-06T02:51:48.000119 | 1,507,258,308.000119 | 96,168 |
pythondev | help | ... and thats false! | 2017-10-06T02:52:07.000161 | Kayce | pythondev_help_Kayce_2017-10-06T02:52:07.000161 | 1,507,258,327.000161 | 96,169 |
pythondev | help | apparently i was caching :facepalm: | 2017-10-06T02:52:19.000148 | Kayce | pythondev_help_Kayce_2017-10-06T02:52:19.000148 | 1,507,258,339.000148 | 96,170 |
pythondev | help | Always love a good kick to the soul. Builds character. | 2017-10-06T02:54:38.000007 | Kayce | pythondev_help_Kayce_2017-10-06T02:54:38.000007 | 1,507,258,478.000007 | 96,171 |
pythondev | help | ;D it happens to everyone | 2017-10-06T02:54:48.000121 | Ciera | pythondev_help_Ciera_2017-10-06T02:54:48.000121 | 1,507,258,488.000121 | 96,172 |
pythondev | help | Onto the next question. I'm getting this non-deterministic problem where sometimes I get a file uploaded more than once. I'm thinking that could be a gunicorn thing, but I'm not certain. | 2017-10-06T03:01:11.000082 | Kayce | pythondev_help_Kayce_2017-10-06T03:01:11.000082 | 1,507,258,871.000082 | 96,173 |
pythondev | help | Actually, I revoke this question until I noodle around a bit. I'll come back to it later if it persists. | 2017-10-06T03:02:24.000271 | Kayce | pythondev_help_Kayce_2017-10-06T03:02:24.000271 | 1,507,258,944.000271 | 96,174 |
pythondev | help | <@Kayce> in addition, localhost allows you to have some security exceptions, like when using the browser geolocation api and iframes… at least with chrome. Not sure if they still apply to `127.0.0.1` or in other browsers. That’ll let you do some dev work with those two, without requiring SSL in the former and dealing with lots of special cases with the latter | 2017-10-06T07:08:03.000022 | Meg | pythondev_help_Meg_2017-10-06T07:08:03.000022 | 1,507,273,683.000022 | 96,175 |
pythondev | help | setting up mailchimp, using python api <https://github.com/charlesthk/python-mailchimp> and I have on mailchimp an existing list of emails I want to add to. Anyone ever tried this before? | 2017-10-06T07:45:15.000348 | Beverley | pythondev_help_Beverley_2017-10-06T07:45:15.000348 | 1,507,275,915.000348 | 96,176 |
pythondev | help | i have a csv file with ~2million rows (1.5gb) and need to process its contents - e. g. read out column 6 entry of each row and store it in a `dict` or `set` - anybody has ideas for an efficient solution?
(i am running on latest mac, 16gb, python 2.7) | 2017-10-06T08:36:41.000006 | Aimee | pythondev_help_Aimee_2017-10-06T08:36:41.000006 | 1,507,279,001.000006 | 96,177 |
pythondev | help | I believe the stdlib csvreader use a generator so you can use that and process it line by line | 2017-10-06T08:37:45.000441 | Ciera | pythondev_help_Ciera_2017-10-06T08:37:45.000441 | 1,507,279,065.000441 | 96,178 |
pythondev | help | <https://stackoverflow.com/questions/17444679/reading-a-huge-csv-file> | 2017-10-06T08:38:25.000360 | Ciera | pythondev_help_Ciera_2017-10-06T08:38:25.000360 | 1,507,279,105.00036 | 96,179 |
pythondev | help | <@Aimee> any chance you can import to a database and use python to retrieve the data from there? | 2017-10-06T08:47:14.000145 | Meg | pythondev_help_Meg_2017-10-06T08:47:14.000145 | 1,507,279,634.000145 | 96,180 |
pythondev | help | that would allow you to use the db for faster queries, analysis and such, without having to re-read and import the data upon each program execution | 2017-10-06T08:47:48.000176 | Meg | pythondev_help_Meg_2017-10-06T08:47:48.000176 | 1,507,279,668.000176 | 96,181 |
pythondev | help | <@Ciera> thanks for your message. i actually read the exact same article not too long ago. it looks like using a generator is the only smart idea. but i am not sure when talking about 2m rows | 2017-10-06T08:49:21.000062 | Aimee | pythondev_help_Aimee_2017-10-06T08:49:21.000062 | 1,507,279,761.000062 | 96,182 |
pythondev | help | <@Meg> thanks for you message. unfortunately, i cant. i am receiving this as an export myself. now i have to deal with it that way :slightly_smiling_face: | 2017-10-06T08:50:04.000158 | Aimee | pythondev_help_Aimee_2017-10-06T08:50:04.000158 | 1,507,279,804.000158 | 96,183 |
pythondev | help | db is definitively a better idea. If you use correctly generator is the number of rows shouldn't matter | 2017-10-06T08:51:12.000348 | Ciera | pythondev_help_Ciera_2017-10-06T08:51:12.000348 | 1,507,279,872.000348 | 96,184 |
pythondev | help | but it can be slow | 2017-10-06T08:51:16.000127 | Ciera | pythondev_help_Ciera_2017-10-06T08:51:16.000127 | 1,507,279,876.000127 | 96,185 |
pythondev | help | Oof, OK. Then I'd try out <@Ciera>'s suggestion | 2017-10-06T08:51:34.000371 | Meg | pythondev_help_Meg_2017-10-06T08:51:34.000371 | 1,507,279,894.000371 | 96,186 |
pythondev | help | well you can still insert it in a db the first time and afterwards use the db | 2017-10-06T08:52:32.000345 | Ciera | pythondev_help_Ciera_2017-10-06T08:52:32.000345 | 1,507,279,952.000345 | 96,187 |
pythondev | help | <@Ciera> i have to admit i do not have that much experience working with generators - especially at that scale. | 2017-10-06T08:54:19.000088 | Aimee | pythondev_help_Aimee_2017-10-06T08:54:19.000088 | 1,507,280,059.000088 | 96,188 |
pythondev | help | <@Ciera> <@Meg> i normally tend to use google drive and read files through the google api but this file is too large for google drive | 2017-10-06T08:55:07.000350 | Aimee | pythondev_help_Aimee_2017-10-06T08:55:07.000350 | 1,507,280,107.00035 | 96,189 |
pythondev | help | basically, a generator will only pop off one row at a time, which is called `yield`ing | 2017-10-06T08:55:22.000074 | Patty | pythondev_help_Patty_2017-10-06T08:55:22.000074 | 1,507,280,122.000074 | 96,190 |
pythondev | help | that way it doesn’t have to hold the whole CSV in memory | 2017-10-06T08:55:35.000218 | Patty | pythondev_help_Patty_2017-10-06T08:55:35.000218 | 1,507,280,135.000218 | 96,191 |
pythondev | help | if you follow the SO post it should be :thumbsup: | 2017-10-06T08:55:37.000171 | Ciera | pythondev_help_Ciera_2017-10-06T08:55:37.000171 | 1,507,280,137.000171 | 96,192 |
pythondev | help | <@Patty> thank you. yes, i totally understand the concept of generator functions. just havent written and worked with many of them myself | 2017-10-06T08:56:57.000077 | Aimee | pythondev_help_Aimee_2017-10-06T08:56:57.000077 | 1,507,280,217.000077 | 96,193 |
pythondev | help | if all you want is the unique values in column 6 then `cut | sort | uniq` would generally be the quickest way | 2017-10-06T08:58:43.000192 | Carri | pythondev_help_Carri_2017-10-06T08:58:43.000192 | 1,507,280,323.000192 | 96,194 |
pythondev | help | sounds like a good learning experience for you. but don’t forget, instanciating that many objects will have an impact on your memory. In addition, any kind of analysis done will be dependent on how python runs on your system | 2017-10-06T09:03:58.000101 | Meg | pythondev_help_Meg_2017-10-06T09:03:58.000101 | 1,507,280,638.000101 | 96,195 |
pythondev | help | are you using pandas? | 2017-10-06T09:04:19.000228 | Meg | pythondev_help_Meg_2017-10-06T09:04:19.000228 | 1,507,280,659.000228 | 96,196 |
pythondev | help | <@Meg> yes, i am using pandas. but not in that context yet. | 2017-10-06T10:18:18.000586 | Aimee | pythondev_help_Aimee_2017-10-06T10:18:18.000586 | 1,507,285,098.000586 | 96,197 |
pythondev | help | ok, because that would save time | 2017-10-06T10:19:42.000478 | Meg | pythondev_help_Meg_2017-10-06T10:19:42.000478 | 1,507,285,182.000478 | 96,198 |
pythondev | help | it has a pretty bulletproof csv import functionality | 2017-10-06T10:19:57.000479 | Meg | pythondev_help_Meg_2017-10-06T10:19:57.000479 | 1,507,285,197.000479 | 96,199 |
pythondev | help | so if you’re doing searching, analysis, etc, I’d look into that rather than rolling your own code | 2017-10-06T10:20:14.000515 | Meg | pythondev_help_Meg_2017-10-06T10:20:14.000515 | 1,507,285,214.000515 | 96,200 |
pythondev | help | So I'm on a sortof low-urgency search for a dev-friendly widget kit in python that is available for linux. My preference is for a.) minimal installation headaches and dependencies and b.) availability on RHEL6/CentOS6. Anyone have a suggestion or care to weigh in on the pros and cons? I'm currently using PyQt4 (which I think is a dependency headache) on one project and pygtk on another | 2017-10-06T10:35:45.000142 | Sirena | pythondev_help_Sirena_2017-10-06T10:35:45.000142 | 1,507,286,145.000142 | 96,201 |
pythondev | help | I doubt it's preinstalled, but Kivy has a small footprint at least. Seems to be considerably smaller than the tk packages necessary for tkinter. | 2017-10-06T11:23:42.000408 | Meghan | pythondev_help_Meghan_2017-10-06T11:23:42.000408 | 1,507,289,022.000408 | 96,202 |
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