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pythondev | help | But you might find some nuggets in there | 2017-10-02T12:20:24.000298 | Marcelina | pythondev_help_Marcelina_2017-10-02T12:20:24.000298 | 1,506,946,824.000298 | 95,403 |
pythondev | help | Ok, thank you very much | 2017-10-02T12:20:36.000381 | Rosamaria | pythondev_help_Rosamaria_2017-10-02T12:20:36.000381 | 1,506,946,836.000381 | 95,404 |
pythondev | help | This is the type of stuff I was looking for | 2017-10-02T12:20:41.000654 | Rosamaria | pythondev_help_Rosamaria_2017-10-02T12:20:41.000654 | 1,506,946,841.000654 | 95,405 |
pythondev | help | Is there a way to format links into text in slack? If there is it is lost on me. | 2017-10-02T12:21:39.000368 | Mallie | pythondev_help_Mallie_2017-10-02T12:21:39.000368 | 1,506,946,899.000368 | 95,406 |
pythondev | help | <https://www.programmableweb.com/news/api-anti-patterns-how-to-avoid-common-rest-mistakes/2010/08/13> | 2017-10-02T12:21:41.000563 | Marcelina | pythondev_help_Marcelina_2017-10-02T12:21:41.000563 | 1,506,946,901.000563 | 95,407 |
pythondev | help | That sums up his presentation much better - his slides were kind of all over the place | 2017-10-02T12:22:38.000244 | Marcelina | pythondev_help_Marcelina_2017-10-02T12:22:38.000244 | 1,506,946,958.000244 | 95,408 |
pythondev | help | <@Mallie> no. | 2017-10-02T12:25:53.000734 | Meg | pythondev_help_Meg_2017-10-02T12:25:53.000734 | 1,506,947,153.000734 | 95,409 |
pythondev | help | <@Rosamaria> this is a pretty good guide | 2017-10-02T12:27:02.000434 | Meg | pythondev_help_Meg_2017-10-02T12:27:02.000434 | 1,506,947,222.000434 | 95,410 |
pythondev | help | <http://www.vinaysahni.com/best-practices-for-a-pragmatic-restful-api> | 2017-10-02T12:27:02.000734 | Meg | pythondev_help_Meg_2017-10-02T12:27:02.000734 | 1,506,947,222.000734 | 95,411 |
pythondev | help | Ooo - I like yours better | 2017-10-02T12:27:57.000161 | Marcelina | pythondev_help_Marcelina_2017-10-02T12:27:57.000161 | 1,506,947,277.000161 | 95,412 |
pythondev | help | any resources on best practices to filter with optional query parameters without making a mess of code? | 2017-10-02T12:34:32.000009 | Meg | pythondev_help_Meg_2017-10-02T12:34:32.000009 | 1,506,947,672.000009 | 95,413 |
pythondev | help | can be general or django-specific | 2017-10-02T12:34:47.000403 | Meg | pythondev_help_Meg_2017-10-02T12:34:47.000403 | 1,506,947,687.000403 | 95,414 |
pythondev | help | I'm working on refactoring an api backend that is pretty messy | 2017-10-02T12:44:32.000120 | Meg | pythondev_help_Meg_2017-10-02T12:44:32.000120 | 1,506,948,272.00012 | 95,415 |
pythondev | help | downside, there's six possible query parameters I have to account for, and only one is required | 2017-10-02T12:45:03.000006 | Meg | pythondev_help_Meg_2017-10-02T12:45:03.000006 | 1,506,948,303.000006 | 95,416 |
pythondev | help | <@Meg> What's it look like (if that is ok)? | 2017-10-02T12:46:17.000501 | Mallie | pythondev_help_Mallie_2017-10-02T12:46:17.000501 | 1,506,948,377.000501 | 95,417 |
pythondev | help | and that's _after_ I cleaned it up two years ago. Before, it was far worse | 2017-10-02T12:48:31.000366 | Meg | pythondev_help_Meg_2017-10-02T12:48:31.000366 | 1,506,948,511.000366 | 95,418 |
pythondev | help | at this point, I think its highly overcomplicated | 2017-10-02T12:52:16.000552 | Meg | pythondev_help_Meg_2017-10-02T12:52:16.000552 | 1,506,948,736.000552 | 95,419 |
pythondev | help | and might be a case of lipstick on a pig to move forward without re-evaluating | 2017-10-02T12:52:33.000721 | Meg | pythondev_help_Meg_2017-10-02T12:52:33.000721 | 1,506,948,753.000721 | 95,420 |
pythondev | help | Well `request.GET` permits lookup by key - so why repack them just to check for the one necessary, then just unpack them again anyway? You could just `request.GET.get()` or `[string] in request.GET` and remove most of that top code I'd think. I would check for the required field and leave immediately without any other processing personally. Also, if you want to use **kwargs, you could provide a mapping between kwarg and value then just provide them if they exist, if you are interested in making it more terse, since you are just ANDing things in your filter and exclude cases e.g.
```
d={'catalog__institution__unitid': 1, 'catalog__institution__name__icontains': 2, 'catalog__institution__status': None}
**dict((key, value) for key,value in d.items() if value)
```
Can't these be grouped into a `filter` too: `Q(catalog__status = 'Verified') & Q(name = 'Catalog Home')`. I'd only add the verbosity of Q for OR | 2017-10-02T13:06:15.000491 | Mallie | pythondev_help_Mallie_2017-10-02T13:06:15.000491 | 1,506,949,575.000491 | 95,421 |
pythondev | help | You might like `filter_params.get(field[5], None)` rather than your ternaries | 2017-10-02T13:06:43.000426 | Marcelina | pythondev_help_Marcelina_2017-10-02T13:06:43.000426 | 1,506,949,603.000426 | 95,422 |
pythondev | help | This section is the most mysterious to me ``` # More custom query for filters
custom_query &= Q(catalog__institution__state = state)
custom_query &= Q(Q(flags__gte = 5) & Q(media_type = 'PDF')) | Q(media_type = 'Web') | Q(media_type = 'Multi-Part PDF')
custom_query &= Q(catalog__status = 'Verified') & Q(name = 'Catalog Home') & Q(catalog__cataloglink__name = 'Catalog Home')``` | 2017-10-02T13:08:10.000283 | Marcelina | pythondev_help_Marcelina_2017-10-02T13:08:10.000283 | 1,506,949,690.000283 | 95,423 |
pythondev | help | It looks like some bitwise logic | 2017-10-02T13:08:20.000430 | Marcelina | pythondev_help_Marcelina_2017-10-02T13:08:20.000430 | 1,506,949,700.00043 | 95,424 |
pythondev | help | In the Django ORM when working with querysets, the bitwise operators are overridden so you can do query building: <https://docs.djangoproject.com/en/1.11/topics/db/queries/#complex-lookups-with-q-objects> | 2017-10-02T13:09:00.000352 | Mallie | pythondev_help_Mallie_2017-10-02T13:09:00.000352 | 1,506,949,740.000352 | 95,425 |
pythondev | help | basically, I need to explicityly filter based on those fields | 2017-10-02T13:09:04.000015 | Meg | pythondev_help_Meg_2017-10-02T13:09:04.000015 | 1,506,949,744.000015 | 95,426 |
pythondev | help | Ahhh | 2017-10-02T13:09:06.000041 | Marcelina | pythondev_help_Marcelina_2017-10-02T13:09:06.000041 | 1,506,949,746.000041 | 95,427 |
pythondev | help | Thanks | 2017-10-02T13:09:07.000393 | Marcelina | pythondev_help_Marcelina_2017-10-02T13:09:07.000393 | 1,506,949,747.000393 | 95,428 |
pythondev | help | I'm saying AND is encompassed fully in `filter` - if you need to OR you are stuck with `Q` | 2017-10-02T13:09:22.000069 | Mallie | pythondev_help_Mallie_2017-10-02T13:09:22.000069 | 1,506,949,762.000069 | 95,429 |
pythondev | help | and if you want to do a NOT query without using `exclude`, then you need to use a Q object | 2017-10-02T13:09:53.000317 | Meg | pythondev_help_Meg_2017-10-02T13:09:53.000317 | 1,506,949,793.000317 | 95,430 |
pythondev | help | appreciate the thoughts :slightly_smiling_face: | 2017-10-02T13:10:13.000487 | Meg | pythondev_help_Meg_2017-10-02T13:10:13.000487 | 1,506,949,813.000487 | 95,431 |
pythondev | help | Jupyter is browser-based right? Did you clear your cache when changing versions (new static files with same name?) | 2017-10-02T13:13:02.000056 | Mallie | pythondev_help_Mallie_2017-10-02T13:13:02.000056 | 1,506,949,982.000056 | 95,432 |
pythondev | help | Disclaimer: I've never used Jupyter | 2017-10-02T13:13:26.000364 | Mallie | pythondev_help_Mallie_2017-10-02T13:13:26.000364 | 1,506,950,006.000364 | 95,433 |
pythondev | help | Yes, browser based. I didn't try with cache. Will do | 2017-10-02T13:14:39.000012 | Nicol | pythondev_help_Nicol_2017-10-02T13:14:39.000012 | 1,506,950,079.000012 | 95,434 |
pythondev | help | Thanks a lot | 2017-10-02T13:15:19.000176 | Nicol | pythondev_help_Nicol_2017-10-02T13:15:19.000176 | 1,506,950,119.000176 | 95,435 |
pythondev | help | <@Meg> i had a similar problem in the past. i used parsimonius to build a parse tree. we called it quest. queries over rest | 2017-10-02T13:16:50.000022 | Johana | pythondev_help_Johana_2017-10-02T13:16:50.000022 | 1,506,950,210.000022 | 95,436 |
pythondev | help | <https://github.com/erikrose/parsimonious> | 2017-10-02T13:17:36.000220 | Meg | pythondev_help_Meg_2017-10-02T13:17:36.000220 | 1,506,950,256.00022 | 95,437 |
pythondev | help | this one? | 2017-10-02T13:17:37.000430 | Meg | pythondev_help_Meg_2017-10-02T13:17:37.000430 | 1,506,950,257.00043 | 95,438 |
pythondev | help | <@Mallie> :taco:
<@Marcelina> :taco: | 2017-10-02T13:18:01.000014 | Meg | pythondev_help_Meg_2017-10-02T13:18:01.000014 | 1,506,950,281.000014 | 95,439 |
pythondev | help | yea | 2017-10-02T13:18:11.000261 | Johana | pythondev_help_Johana_2017-10-02T13:18:11.000261 | 1,506,950,291.000261 | 95,440 |
pythondev | help | nice! | 2017-10-02T13:18:23.000410 | Meg | pythondev_help_Meg_2017-10-02T13:18:23.000410 | 1,506,950,303.00041 | 95,441 |
pythondev | help | the code is in a private repo so unfortunately cannot share. | 2017-10-02T13:18:40.000323 | Johana | pythondev_help_Johana_2017-10-02T13:18:40.000323 | 1,506,950,320.000323 | 95,442 |
pythondev | help | understood | 2017-10-02T13:18:48.000121 | Meg | pythondev_help_Meg_2017-10-02T13:18:48.000121 | 1,506,950,328.000121 | 95,443 |
pythondev | help | <@Mallie> Din't help, but thanks anyway! | 2017-10-02T13:31:08.000145 | Nicol | pythondev_help_Nicol_2017-10-02T13:31:08.000145 | 1,506,951,068.000145 | 95,444 |
pythondev | help | Had to try! :thumbsup: | 2017-10-02T13:31:47.000550 | Mallie | pythondev_help_Mallie_2017-10-02T13:31:47.000550 | 1,506,951,107.00055 | 95,445 |
pythondev | help | I work for a company that uses a lot of the python scientific packages. We use docker containers for running these packages currently. There are two issues I'm trying to figure out how to solve. First, what's the common methodology for storing/accessing large data locally? The large data is stored in the cloud - we are examining how that is stored right now, but it could be any back-end.
`from data_loader import some_data_set`. would be the ideal line. My thought was to do a staged caching mechanism, e.g. if the data exists locally, use it. If it doesn't, pull it. Has anyone ever stumbled across a design pattern similar to this?
Second, since everything runs inside a docker container, would it really be so wrong to, on program start, if we are not running inside our docker image, start it and redirect everything to run inside it? | 2017-10-02T17:51:43.000054 | Marcelina | pythondev_help_Marcelina_2017-10-02T17:51:43.000054 | 1,506,966,703.000054 | 95,446 |
pythondev | help | 3rd, does anyone have any lessons learned from running their own PyPI server privately? | 2017-10-02T17:52:54.000115 | Marcelina | pythondev_help_Marcelina_2017-10-02T17:52:54.000115 | 1,506,966,774.000115 | 95,447 |
pythondev | help | Finally, does anyone think I ask too many questions? | 2017-10-02T17:53:04.000341 | Marcelina | pythondev_help_Marcelina_2017-10-02T17:53:04.000341 | 1,506,966,784.000341 | 95,448 |
pythondev | help | Hi Guys Do you Know "Aİ" about python library source? | 2017-10-02T18:04:27.000063 | Lawerence | pythondev_help_Lawerence_2017-10-02T18:04:27.000063 | 1,506,967,467.000063 | 95,449 |
pythondev | help | <@Lawerence> Could you rephrase/expand a little | 2017-10-02T18:07:20.000041 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:07:20.000041 | 1,506,967,640.000041 | 95,450 |
pythondev | help | ? | 2017-10-02T18:07:20.000434 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:07:20.000434 | 1,506,967,640.000434 | 95,451 |
pythondev | help | Do you know Artificial intelligence library for python ? | 2017-10-02T18:10:05.000105 | Lawerence | pythondev_help_Lawerence_2017-10-02T18:10:05.000105 | 1,506,967,805.000105 | 95,452 |
pythondev | help | Ahhh - there are many | 2017-10-02T18:10:15.000229 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:10:15.000229 | 1,506,967,815.000229 | 95,453 |
pythondev | help | If you're looking for a jumping off point | 2017-10-02T18:10:31.000483 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:10:31.000483 | 1,506,967,831.000483 | 95,454 |
pythondev | help | <http://www.fast.ai/> | 2017-10-02T18:10:32.000216 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:10:32.000216 | 1,506,967,832.000216 | 95,455 |
pythondev | help | ahh Thx bro :smile: | 2017-10-02T18:10:53.000150 | Lawerence | pythondev_help_Lawerence_2017-10-02T18:10:53.000150 | 1,506,967,853.00015 | 95,456 |
pythondev | help | :thumbsup: | 2017-10-02T18:11:30.000275 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:11:30.000275 | 1,506,967,890.000275 | 95,457 |
pythondev | help | <@Marcelina> interesting questions :slightly_smiling_face: | 2017-10-02T18:13:47.000028 | Meg | pythondev_help_Meg_2017-10-02T18:13:47.000028 | 1,506,968,027.000028 | 95,458 |
pythondev | help | about the only issue I could see with you doing a staging mechanism is to ensure there’s enough storage locally before starting the download | 2017-10-02T18:14:18.000138 | Meg | pythondev_help_Meg_2017-10-02T18:14:18.000138 | 1,506,968,058.000138 | 95,459 |
pythondev | help | second, I could see that being a good use pattern | 2017-10-02T18:14:41.000196 | Meg | pythondev_help_Meg_2017-10-02T18:14:41.000196 | 1,506,968,081.000196 | 95,460 |
pythondev | help | third, sorry, can’t say | 2017-10-02T18:14:56.000326 | Meg | pythondev_help_Meg_2017-10-02T18:14:56.000326 | 1,506,968,096.000326 | 95,461 |
pythondev | help | That was my thought - and that was why I was wondering about running outside docker because inside docker, you got no idea how much is remaining | 2017-10-02T18:14:57.000148 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:14:57.000148 | 1,506,968,097.000148 | 95,462 |
pythondev | help | with docker, you can symlink to external resources, correct? | 2017-10-02T18:15:19.000216 | Meg | pythondev_help_Meg_2017-10-02T18:15:19.000216 | 1,506,968,119.000216 | 95,463 |
pythondev | help | You can mount resources externally | 2017-10-02T18:15:29.000103 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:15:29.000103 | 1,506,968,129.000103 | 95,464 |
pythondev | help | But as a container, it's not really aware of the system space remaining | 2017-10-02T18:15:40.000084 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:15:40.000084 | 1,506,968,140.000084 | 95,465 |
pythondev | help | ah ok | 2017-10-02T18:16:00.000265 | Meg | pythondev_help_Meg_2017-10-02T18:16:00.000265 | 1,506,968,160.000265 | 95,466 |
pythondev | help | I think there's some workarounds I can do there | 2017-10-02T18:16:11.000067 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:16:11.000067 | 1,506,968,171.000067 | 95,467 |
pythondev | help | so, seems like you’d have to ensure creation of the container | 2017-10-02T18:16:12.000171 | Meg | pythondev_help_Meg_2017-10-02T18:16:12.000171 | 1,506,968,172.000171 | 95,468 |
pythondev | help | Admittedly | 2017-10-02T18:16:12.000358 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:16:12.000358 | 1,506,968,172.000358 | 95,469 |
pythondev | help | and then mount it | 2017-10-02T18:16:19.000120 | Meg | pythondev_help_Meg_2017-10-02T18:16:19.000120 | 1,506,968,179.00012 | 95,470 |
pythondev | help | somewhat complex there | 2017-10-02T18:16:25.000111 | Meg | pythondev_help_Meg_2017-10-02T18:16:25.000111 | 1,506,968,185.000111 | 95,471 |
pythondev | help | hrms | 2017-10-02T18:16:43.000211 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:16:43.000211 | 1,506,968,203.000211 | 95,472 |
pythondev | help | ok | 2017-10-02T18:16:44.000418 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:16:44.000418 | 1,506,968,204.000418 | 95,473 |
pythondev | help | I’d probaby go to the <#C22DMH61M|devops> channel for that | 2017-10-02T18:16:50.000370 | Meg | pythondev_help_Meg_2017-10-02T18:16:50.000370 | 1,506,968,210.00037 | 95,474 |
pythondev | help | fair enough | 2017-10-02T18:16:58.000238 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:16:58.000238 | 1,506,968,218.000238 | 95,475 |
pythondev | help | since there are some docker people there and thats usually where this kind of topic is discussed :slightly_smiling_face: | 2017-10-02T18:17:15.000101 | Meg | pythondev_help_Meg_2017-10-02T18:17:15.000101 | 1,506,968,235.000101 | 95,476 |
pythondev | help | I gotcha | 2017-10-02T18:17:21.000166 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:17:21.000166 | 1,506,968,241.000166 | 95,477 |
pythondev | help | But the data access pattern | 2017-10-02T18:17:58.000060 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:17:58.000060 | 1,506,968,278.00006 | 95,478 |
pythondev | help | I just can't think of another method | 2017-10-02T18:18:09.000054 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:18:09.000054 | 1,506,968,289.000054 | 95,479 |
pythondev | help | does this data change often | 2017-10-02T18:18:25.000216 | Meg | pythondev_help_Meg_2017-10-02T18:18:25.000216 | 1,506,968,305.000216 | 95,480 |
pythondev | help | Yes | 2017-10-02T18:18:28.000353 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:18:28.000353 | 1,506,968,308.000353 | 95,481 |
pythondev | help | hmm | 2017-10-02T18:18:33.000134 | Meg | pythondev_help_Meg_2017-10-02T18:18:33.000134 | 1,506,968,313.000134 | 95,482 |
pythondev | help | Well | 2017-10-02T18:18:38.000307 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:18:38.000307 | 1,506,968,318.000307 | 95,483 |
pythondev | help | Depends on the set | 2017-10-02T18:18:42.000075 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:18:42.000075 | 1,506,968,322.000075 | 95,484 |
pythondev | help | But assume yes | 2017-10-02T18:18:44.000135 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:18:44.000135 | 1,506,968,324.000135 | 95,485 |
pythondev | help | otherwise, I’d suggest an in-company dockerhub or something | 2017-10-02T18:18:45.000007 | Meg | pythondev_help_Meg_2017-10-02T18:18:45.000007 | 1,506,968,325.000007 | 95,486 |
pythondev | help | We use quay | 2017-10-02T18:18:52.000118 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:18:52.000118 | 1,506,968,332.000118 | 95,487 |
pythondev | help | And I thought about packing the data into images | 2017-10-02T18:19:01.000280 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:19:01.000280 | 1,506,968,341.00028 | 95,488 |
pythondev | help | where you can create and deploy containers for others to retrieve and run | 2017-10-02T18:19:03.000015 | Meg | pythondev_help_Meg_2017-10-02T18:19:03.000015 | 1,506,968,343.000015 | 95,489 |
pythondev | help | Yea - but the issue you'll run into there is that on OSX, there is a default 64GB cap on docker volumes - but another question for the <#C22DMH61M|devops> | 2017-10-02T18:19:41.000085 | Marcelina | pythondev_help_Marcelina_2017-10-02T18:19:41.000085 | 1,506,968,381.000085 | 95,490 |
pythondev | help | <@Lawerence> openCV, sci-kit, openai, tensorflow (with tensorboard), theano (via Keras) are good starting points. | 2017-10-02T19:35:16.000158 | Seema | pythondev_help_Seema_2017-10-02T19:35:16.000158 | 1,506,972,916.000158 | 95,491 |
pythondev | help | <@Collette> could you explain this comprehension? | 2017-10-02T23:46:34.000112 | Winnie | pythondev_help_Winnie_2017-10-02T23:46:34.000112 | 1,506,987,994.000112 | 95,492 |
pythondev | help | <@Winnie> what exactly confuses you? | 2017-10-03T00:20:47.000173 | Collette | pythondev_help_Collette_2017-10-03T00:20:47.000173 | 1,506,990,047.000173 | 95,493 |
pythondev | help | Okay so I'm trying to grab artwork from soundcloud and I have two options of images to grab. I can either grab a 500x500 `.jpeg` or the banner image | 2017-10-03T00:24:24.000058 | Myong | pythondev_help_Myong_2017-10-03T00:24:24.000058 | 1,506,990,264.000058 | 95,494 |
pythondev | help | Example-
Banner: <https://va.sndcdn.com/bg/soundcloud:tracks:257659076/soundcloud-tracks-257659076.jpg>
Album Cover: <https://i1.sndcdn.com/artworks-000156896947-3ch8k2-t500x500.jpg> | 2017-10-03T00:24:53.000148 | Myong | pythondev_help_Myong_2017-10-03T00:24:53.000148 | 1,506,990,293.000148 | 95,495 |
pythondev | help | We run a PyPI server in Nexus <https://www.sonatype.com/nexus-repository-sonatype>
The OSS variant which you can self-host includes Python support. | 2017-10-03T02:05:35.000071 | Carri | pythondev_help_Carri_2017-10-03T02:05:35.000071 | 1,506,996,335.000071 | 95,496 |
pythondev | help | I have it set up to have 3 pypi repositories.
`pypi-upstream` which is a proxy to `<https://pypi.python.org>`
`pypi-internal` which is our hosted one
and `pypi-all` which is a pypi group with which both of the previous repositories are members, with `internal` being the first in the list | 2017-10-03T02:08:26.000007 | Carri | pythondev_help_Carri_2017-10-03T02:08:26.000007 | 1,506,996,506.000007 | 95,497 |
pythondev | help | This allows us to easily upload wheels with `twine` to our internal repo, and if anyone does a `pip install` it will get proxied through our nexus repo, as the `pip.conf` file users have in their home directories specifies that to be the default global destination | 2017-10-03T02:10:35.000051 | Carri | pythondev_help_Carri_2017-10-03T02:10:35.000051 | 1,506,996,635.000051 | 95,498 |
pythondev | help | ```
[global]
index = <http://nexus>.${HOSTNAME}/repository/pypi-all/pypi
index-url = <http://nexus>.${HOSTNAME}/repository/pypi-all/simple
trusted-host = nexus.${HOSTNAME}
format=columns
[distutils]
index-servers =
nexus
``` | 2017-10-03T02:11:31.000124 | Carri | pythondev_help_Carri_2017-10-03T02:11:31.000124 | 1,506,996,691.000124 | 95,499 |
pythondev | help | Not sure what lessons there are to learn, except that it just works with nexus | 2017-10-03T02:13:22.000013 | Carri | pythondev_help_Carri_2017-10-03T02:13:22.000013 | 1,506,996,802.000013 | 95,500 |
pythondev | help | Running warehouse yourself might incur more effort, but unlikely as it has docker & docker-compose support in the repo <https://github.com/pypa/warehouse> | 2017-10-03T02:14:14.000218 | Carri | pythondev_help_Carri_2017-10-03T02:14:14.000218 | 1,506,996,854.000218 | 95,501 |
pythondev | help | so <#C0JB9ATQV|data_science> channel isn’t so active apparently - trying to post this question here as well. Thanks! | 2017-10-03T03:05:18.000151 | Dinah | pythondev_help_Dinah_2017-10-03T03:05:18.000151 | 1,506,999,918.000151 | 95,502 |
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