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pythondev | help | so date as the key | 2019-02-15T05:14:19.804900 | Waldo | pythondev_help_Waldo_2019-02-15T05:14:19.804900 | 1,550,207,659.8049 | 8,921 |
pythondev | help | Then individual lists for the sku, qty and rev? | 2019-02-15T05:14:29.805200 | Waldo | pythondev_help_Waldo_2019-02-15T05:14:29.805200 | 1,550,207,669.8052 | 8,922 |
pythondev | help | so a list of lists as the date key value? | 2019-02-15T05:15:07.805500 | Waldo | pythondev_help_Waldo_2019-02-15T05:15:07.805500 | 1,550,207,707.8055 | 8,923 |
pythondev | help | I'd remove Sales into a separate DF | 2019-02-15T05:17:07.806300 | Mica | pythondev_help_Mica_2019-02-15T05:17:07.806300 | 1,550,207,827.8063 | 8,924 |
pythondev | help | so you'd have a dict of date:sales_df | 2019-02-15T05:17:30.806800 | Mica | pythondev_help_Mica_2019-02-15T05:17:30.806800 | 1,550,207,850.8068 | 8,925 |
pythondev | help | slightly confused... how would that look? | 2019-02-15T05:18:14.807600 | Waldo | pythondev_help_Waldo_2019-02-15T05:18:14.807600 | 1,550,207,894.8076 | 8,926 |
pythondev | help | with sales being `DataFrame.from_dict({MV1-XMNY18_revenue: [], MV1-XMNY18_qty: [], MV1-STL_revenue:[], MV1-STL_qty: [], ...})` | 2019-02-15T05:18:34.808100 | Mica | pythondev_help_Mica_2019-02-15T05:18:34.808100 | 1,550,207,914.8081 | 8,927 |
pythondev | help | that would be a sales DF | 2019-02-15T05:18:45.808300 | Mica | pythondev_help_Mica_2019-02-15T05:18:45.808300 | 1,550,207,925.8083 | 8,928 |
pythondev | help | ok | 2019-02-15T05:18:49.808600 | Waldo | pythondev_help_Waldo_2019-02-15T05:18:49.808600 | 1,550,207,929.8086 | 8,929 |
pythondev | help | then you have a dict with the key (date) pointing to the value (sales DF) | 2019-02-15T05:19:02.809000 | Mica | pythondev_help_Mica_2019-02-15T05:19:02.809000 | 1,550,207,942.809 | 8,930 |
pythondev | help | acitally wait wait | 2019-02-15T05:19:47.809300 | Mica | pythondev_help_Mica_2019-02-15T05:19:47.809300 | 1,550,207,987.8093 | 8,931 |
pythondev | help | if you have another column for date you could putthem all in the same DF | 2019-02-15T05:19:58.809600 | Mica | pythondev_help_Mica_2019-02-15T05:19:58.809600 | 1,550,207,998.8096 | 8,932 |
pythondev | help | that is what I was thinking | 2019-02-15T05:20:27.810000 | Waldo | pythondev_help_Waldo_2019-02-15T05:20:27.810000 | 1,550,208,027.81 | 8,933 |
pythondev | help | Hence being a bit confused, sorry! | 2019-02-15T05:20:34.810300 | Waldo | pythondev_help_Waldo_2019-02-15T05:20:34.810300 | 1,550,208,034.8103 | 8,934 |
pythondev | help | None | 2019-02-15T05:21:22.810400 | Mica | pythondev_help_Mica_2019-02-15T05:21:22.810400 | 1,550,208,082.8104 | 8,935 |
pythondev | help | etc etc. | 2019-02-15T05:21:27.810800 | Mica | pythondev_help_Mica_2019-02-15T05:21:27.810800 | 1,550,208,087.8108 | 8,936 |
pythondev | help | my bad i was being silly :stuck_out_tongue: | 2019-02-15T05:21:33.811100 | Mica | pythondev_help_Mica_2019-02-15T05:21:33.811100 | 1,550,208,093.8111 | 8,937 |
pythondev | help | ok so effectively split out each metric as sku_metricname and have lists | 2019-02-15T05:22:09.812200 | Waldo | pythondev_help_Waldo_2019-02-15T05:22:09.812200 | 1,550,208,129.8122 | 8,938 |
pythondev | help | then you'll have all the data, however you'll be required to convert the nested dicts into a list dict | 2019-02-15T05:22:11.812400 | Mica | pythondev_help_Mica_2019-02-15T05:22:11.812400 | 1,550,208,131.8124 | 8,939 |
pythondev | help | yup | 2019-02-15T05:22:15.812600 | Mica | pythondev_help_Mica_2019-02-15T05:22:15.812600 | 1,550,208,135.8126 | 8,940 |
pythondev | help | ok think I am getting it enough to see how that approach works | 2019-02-15T05:22:43.813200 | Waldo | pythondev_help_Waldo_2019-02-15T05:22:43.813200 | 1,550,208,163.8132 | 8,941 |
pythondev | help | will give it a go now quickly | 2019-02-15T05:22:47.813500 | Waldo | pythondev_help_Waldo_2019-02-15T05:22:47.813500 | 1,550,208,167.8135 | 8,942 |
pythondev | help | hopefully that all makes sense :stuck_out_tongue: | 2019-02-15T05:22:56.813800 | Mica | pythondev_help_Mica_2019-02-15T05:22:56.813800 | 1,550,208,176.8138 | 8,943 |
pythondev | help | the tricky part is I do not know what the skus will be in the date range I run the report | 2019-02-15T05:23:29.814300 | Waldo | pythondev_help_Waldo_2019-02-15T05:23:29.814300 | 1,550,208,209.8143 | 8,944 |
pythondev | help | skus? | 2019-02-15T05:24:04.815100 | Mica | pythondev_help_Mica_2019-02-15T05:24:04.815100 | 1,550,208,244.8151 | 8,945 |
pythondev | help | Sorry - product codes | 2019-02-15T05:24:18.815500 | Waldo | pythondev_help_Waldo_2019-02-15T05:24:18.815500 | 1,550,208,258.8155 | 8,946 |
pythondev | help | you could put in default stubs and then update | 2019-02-15T05:24:40.815900 | Mica | pythondev_help_Mica_2019-02-15T05:24:40.815900 | 1,550,208,280.8159 | 8,947 |
pythondev | help | yup ok | 2019-02-15T05:24:49.816100 | Waldo | pythondev_help_Waldo_2019-02-15T05:24:49.816100 | 1,550,208,289.8161 | 8,948 |
pythondev | help | also there are more experienced individuals than me in <#C0JB9ATQV|data_science> might get more advanced responses :stuck_out_tongue: | 2019-02-15T05:25:37.816700 | Mica | pythondev_help_Mica_2019-02-15T05:25:37.816700 | 1,550,208,337.8167 | 8,949 |
pythondev | help | may head over there but thanks a lot <@Mica> :taco: | 2019-02-15T05:33:59.817100 | Waldo | pythondev_help_Waldo_2019-02-15T05:33:59.817100 | 1,550,208,839.8171 | 8,950 |
pythondev | help | I have installed the `pywin32` library correctly, but each time I run my module it throws the `ModuleNotFoundError` | 2019-02-15T07:04:59.819900 | Arturo | pythondev_help_Arturo_2019-02-15T07:04:59.819900 | 1,550,214,299.8199 | 8,951 |
pythondev | help | I installed it via `pip install pywin32` | 2019-02-15T07:05:16.820300 | Arturo | pythondev_help_Arturo_2019-02-15T07:05:16.820300 | 1,550,214,316.8203 | 8,952 |
pythondev | help | I try to run it from both the console and IDE | 2019-02-15T07:05:33.820600 | Arturo | pythondev_help_Arturo_2019-02-15T07:05:33.820600 | 1,550,214,333.8206 | 8,953 |
pythondev | help | does any one know if there is an automatic code review tool to detect bugs, vulnerabilities and code smells in your code. It can integrate with your existing workflow to enable continuous code inspection across your project branches and pull requests (code here is done using pyspark and sparksql) | 2019-02-15T07:07:38.820800 | Ji | pythondev_help_Ji_2019-02-15T07:07:38.820800 | 1,550,214,458.8208 | 8,954 |
pythondev | help | code smells you could use something like mypy, black. pep8, isort. etc | 2019-02-15T07:09:19.821200 | Mica | pythondev_help_Mica_2019-02-15T07:09:19.821200 | 1,550,214,559.8212 | 8,955 |
pythondev | help | as for detecting bugs, you could always run tests in the CI? | 2019-02-15T07:09:48.822000 | Mica | pythondev_help_Mica_2019-02-15T07:09:48.822000 | 1,550,214,588.822 | 8,956 |
pythondev | help | automatic? no | 2019-02-15T07:10:20.822200 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:10:20.822200 | 1,550,214,620.8222 | 8,957 |
pythondev | help | run tests in CI, use linting tools to enforce agreed upon convention | 2019-02-15T07:10:41.822700 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:10:41.822700 | 1,550,214,641.8227 | 8,958 |
pythondev | help | but actual code review? how would that work? | 2019-02-15T07:10:59.823000 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:10:59.823000 | 1,550,214,659.823 | 8,959 |
pythondev | help | I'd say you haven't installed it correctly then :smile: | 2019-02-15T07:11:38.823900 | Jonas | pythondev_help_Jonas_2019-02-15T07:11:38.823900 | 1,550,214,698.8239 | 8,960 |
pythondev | help | how would you determine a less than optimimal approach or a possible better structure? suggesting documentation? | 2019-02-15T07:11:54.824400 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:11:54.824400 | 1,550,214,714.8244 | 8,961 |
pythondev | help | If you paste the command you're running to install it and the output we can give you a hand | 2019-02-15T07:11:54.824500 | Jonas | pythondev_help_Jonas_2019-02-15T07:11:54.824500 | 1,550,214,714.8245 | 8,962 |
pythondev | help | if you want code analysis, there’s sonarqube | 2019-02-15T07:13:00.825000 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:13:00.825000 | 1,550,214,780.825 | 8,963 |
pythondev | help | <https://www.sonarqube.org/> | 2019-02-15T07:13:01.825200 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:13:01.825200 | 1,550,214,781.8252 | 8,964 |
pythondev | help | but not sure how well it would work for dynamic languages like python. I know it works best with static types like java/c#/etc | 2019-02-15T07:13:29.826500 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:13:29.826500 | 1,550,214,809.8265 | 8,965 |
pythondev | help | I usually run black, pyflakes, and mypy and then there is manual review | 2019-02-15T07:14:00.827300 | Karoline | pythondev_help_Karoline_2019-02-15T07:14:00.827300 | 1,550,214,840.8273 | 8,966 |
pythondev | help | I am using Sonarqube in golang. But i have not used in pyspark.
For python also there is a plugin. I have not tested it | 2019-02-15T07:14:03.827400 | Ji | pythondev_help_Ji_2019-02-15T07:14:03.827400 | 1,550,214,843.8274 | 8,967 |
pythondev | help | true, but there’s always going to be limitations because of the dynamic nature of the language, particularly if you’re not using typings or mypy | 2019-02-15T07:14:38.828000 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:14:38.828000 | 1,550,214,878.828 | 8,968 |
pythondev | help | are you using manual code review in addition to this? | 2019-02-15T07:15:47.828600 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:15:47.828600 | 1,550,214,947.8286 | 8,969 |
pythondev | help | Yes i am doing a manual code review. But sometimes when you write the code you might end up with cognitive complexity. | 2019-02-15T07:17:15.829400 | Ji | pythondev_help_Ji_2019-02-15T07:17:15.829400 | 1,550,215,035.8294 | 8,970 |
pythondev | help | so i want to highlight such things for later refactor | 2019-02-15T07:17:34.829900 | Ji | pythondev_help_Ji_2019-02-15T07:17:34.829900 | 1,550,215,054.8299 | 8,971 |
pythondev | help | I don't know how much a tool can really help with that. I mean there's things like mccabe complexity checking - but especially if it's simply advisory and going to be dealt with later I dunno how much having that as an automatic part of a PR would help | 2019-02-15T07:20:49.830900 | Karoline | pythondev_help_Karoline_2019-02-15T07:20:49.830900 | 1,550,215,249.8309 | 8,972 |
pythondev | help | when i said i would later refactor. it is not left like that. I would address this as soon as possible. you are right using the tool seems useless | 2019-02-15T07:23:20.832900 | Ji | pythondev_help_Ji_2019-02-15T07:23:20.832900 | 1,550,215,400.8329 | 8,973 |
pythondev | help | If I'm using an automated tool in my PRs it's usually to give me a yes/no answer. | 2019-02-15T07:23:29.833200 | Karoline | pythondev_help_Karoline_2019-02-15T07:23:29.833200 | 1,550,215,409.8332 | 8,974 |
pythondev | help | especially just because they avoid argument. the worst thing is getting people disagreeing about how important something is and a PR dragging on about what should/shouldn't be fixed. | 2019-02-15T07:24:16.834100 | Karoline | pythondev_help_Karoline_2019-02-15T07:24:16.834100 | 1,550,215,456.8341 | 8,975 |
pythondev | help | Yes you can use it against every PR but then it becomes an overhead (All PR is done by manual reivew, which is enough).
I would rather keep it simple get the things running and then refactor code based on complexity and performance.
The main usecase for me is to highlight writing a shitty code gives us pain in the end ... | 2019-02-15T07:29:13.837600 | Ji | pythondev_help_Ji_2019-02-15T07:29:13.837600 | 1,550,215,753.8376 | 8,976 |
pythondev | help | is that shitty code fairly visible in review or when working on tickets? | 2019-02-15T07:30:19.838600 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:30:19.838600 | 1,550,215,819.8386 | 8,977 |
pythondev | help | eg, when you’re working on a ticket and you come across X thing that could be done better. why not file a ticket for that, especially if you have a tech debt epic/bucket | 2019-02-15T07:31:04.840000 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:31:04.840000 | 1,550,215,864.84 | 8,978 |
pythondev | help | and then you can allocate 10-20% of your team’s weekly work to cleaning up those kind of tickets | 2019-02-15T07:31:30.840700 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:31:30.840700 | 1,550,215,890.8407 | 8,979 |
pythondev | help | I do agree with you <@Hiroko> that is the best approach. But sometime some slip through. | 2019-02-15T07:32:11.841700 | Ji | pythondev_help_Ji_2019-02-15T07:32:11.841700 | 1,550,215,931.8417 | 8,980 |
pythondev | help | that's going to happen | 2019-02-15T07:32:26.841900 | Karoline | pythondev_help_Karoline_2019-02-15T07:32:26.841900 | 1,550,215,946.8419 | 8,981 |
pythondev | help | So such tooling which just give me overview helps me catch those | 2019-02-15T07:33:09.843200 | Ji | pythondev_help_Ji_2019-02-15T07:33:09.843200 | 1,550,215,989.8432 | 8,982 |
pythondev | help | and are you sure you’re going to get a higher signal to noise ratio with thoe tools? | 2019-02-15T07:33:17.843700 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:33:17.843700 | 1,550,215,997.8437 | 8,983 |
pythondev | help | I believe SonarQube does that | 2019-02-15T07:33:19.843900 | Ji | pythondev_help_Ji_2019-02-15T07:33:19.843900 | 1,550,215,999.8439 | 8,984 |
pythondev | help | I'd say throw the linters and mccabe at it, and use those to gate new PRs. And anything beyond that is realistically going to have to come from the culture of your dev team | 2019-02-15T07:33:26.844100 | Karoline | pythondev_help_Karoline_2019-02-15T07:33:26.844100 | 1,550,216,006.8441 | 8,985 |
pythondev | help | and project managers too | 2019-02-15T07:33:54.844600 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:33:54.844600 | 1,550,216,034.8446 | 8,986 |
pythondev | help | i just want to help dev team :wink: . Project managers are whole different species :smile: | 2019-02-15T07:34:49.845700 | Ji | pythondev_help_Ji_2019-02-15T07:34:49.845700 | 1,550,216,089.8457 | 8,987 |
pythondev | help | PMs really should help the dev team and be the interface between devs and stakeholders | 2019-02-15T07:35:25.846800 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:35:25.846800 | 1,550,216,125.8468 | 8,988 |
pythondev | help | I mean they list their "code smells" - <https://rules.sonarsource.com/python/type/Code%20Smell/RSPEC-124> | 2019-02-15T07:35:31.847000 | Karoline | pythondev_help_Karoline_2019-02-15T07:35:31.847000 | 1,550,216,131.847 | 8,989 |
pythondev | help | if theyre not doing that, there’s a bigger problem | 2019-02-15T07:35:37.847500 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:35:37.847500 | 1,550,216,137.8475 | 8,990 |
pythondev | help | I'm unimpressed with what it does beyond the normal linter, to be honest | 2019-02-15T07:35:45.847700 | Karoline | pythondev_help_Karoline_2019-02-15T07:35:45.847700 | 1,550,216,145.8477 | 8,991 |
pythondev | help | files should not have too many lines of code? | 2019-02-15T07:36:14.848100 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:36:14.848100 | 1,550,216,174.8481 | 8,992 |
pythondev | help | doesn’t really state what the limit is | 2019-02-15T07:36:25.848600 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:36:25.848600 | 1,550,216,185.8486 | 8,993 |
pythondev | help | Thanks guys i will try to keep it simple and do it with linters for start | 2019-02-15T07:36:43.849000 | Ji | pythondev_help_Ji_2019-02-15T07:36:43.849000 | 1,550,216,203.849 | 8,994 |
pythondev | help | cognitive complexity… would be interesting how that’s determined | 2019-02-15T07:37:02.849500 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:37:02.849500 | 1,550,216,222.8495 | 8,995 |
pythondev | help | use the linters and don't make them advisory. fail PRs that linting | 2019-02-15T07:37:08.849800 | Karoline | pythondev_help_Karoline_2019-02-15T07:37:08.849800 | 1,550,216,228.8498 | 8,996 |
pythondev | help | <@Hiroko> my guess is they just run mccabe | 2019-02-15T07:37:28.850100 | Karoline | pythondev_help_Karoline_2019-02-15T07:37:28.850100 | 1,550,216,248.8501 | 8,997 |
pythondev | help | <https://www.sonarsource.com/docs/CognitiveComplexity.pdf> | 2019-02-15T07:37:33.850300 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:37:33.850300 | 1,550,216,253.8503 | 8,998 |
pythondev | help | looks to be built off mccabe | 2019-02-15T07:37:50.850600 | Hiroko | pythondev_help_Hiroko_2019-02-15T07:37:50.850600 | 1,550,216,270.8506 | 8,999 |
pythondev | help | a lot of this just seems to be built off of the existing linters really | 2019-02-15T07:38:26.850900 | Karoline | pythondev_help_Karoline_2019-02-15T07:38:26.850900 | 1,550,216,306.8509 | 9,000 |
pythondev | help | another thing I'll add, and I hope I'm not beating a dead horse here, but it's coming a up a lot as I get deeper into the new place I'm at so it's on my mind - anything automated to tell you things that isn't designed to require a response is destined to be ignored. my prediction is if this is just an advisory thing o... | 2019-02-15T07:58:28.853300 | Karoline | pythondev_help_Karoline_2019-02-15T07:58:28.853300 | 1,550,217,508.8533 | 9,001 |
pythondev | help | worse - they may internalized its continued griping about their "shitty code" and get demoralized. | 2019-02-15T07:58:43.853700 | Karoline | pythondev_help_Karoline_2019-02-15T07:58:43.853700 | 1,550,217,523.8537 | 9,002 |
pythondev | help | so if you want to integrate tools like this into CI - make failing the tool fail CI | 2019-02-15T07:59:21.854200 | Karoline | pythondev_help_Karoline_2019-02-15T07:59:21.854200 | 1,550,217,561.8542 | 9,003 |
pythondev | help | Managed to get it working. The import name was wrong | 2019-02-15T08:06:29.854300 | Arturo | pythondev_help_Arturo_2019-02-15T08:06:29.854300 | 1,550,217,989.8543 | 9,004 |
pythondev | help | Yes you are right people will get demoralised if flagged every single time.
In go project which i worked with we used this check (like a good to have), not to flag things as shitty code.
Like you said before we sit as a team we take a look into code smell and remove it before moving it into production. I am taking tha... | 2019-02-15T08:21:57.861200 | Ji | pythondev_help_Ji_2019-02-15T08:21:57.861200 | 1,550,218,917.8612 | 9,005 |
pythondev | help | Yeah it can be especially tough working with data science stuff, the expectations for developers there are often different. I think it's good to do what you are doing though and trying to bring up the code quality | 2019-02-15T08:23:10.862000 | Karoline | pythondev_help_Karoline_2019-02-15T08:23:10.862000 | 1,550,218,990.862 | 9,006 |
pythondev | help | Funny thing, I just talked to two people from the same department. 1) the pyspark queries were slow so I converted them to use mostly SQL since then only the SQL statements need to be transferred. 2) the codebase was all in pyspark using just SQL statements and was unmaintainable so I converted it to python statements | 2019-02-15T09:03:52.865700 | Bethany | pythondev_help_Bethany_2019-02-15T09:03:52.865700 | 1,550,221,432.8657 | 9,007 |
pythondev | help | So don't do that | 2019-02-15T09:04:04.865900 | Bethany | pythondev_help_Bethany_2019-02-15T09:04:04.865900 | 1,550,221,444.8659 | 9,008 |
pythondev | help | Yeah. You'll have to work the problem backwards a little bit. Just look at how it builds the command it wants to run, and try to mimic that process | 2019-02-15T09:05:25.868000 | Ashley | pythondev_help_Ashley_2019-02-15T09:05:25.868000 | 1,550,221,525.868 | 9,009 |
pythondev | help | I can't imagine a tool will be able to tell you anything helpful beyond Flake8 + mypy + formatter (black/yapf). | 2019-02-15T09:05:49.868800 | Bethany | pythondev_help_Bethany_2019-02-15T09:05:49.868800 | 1,550,221,549.8688 | 9,010 |
pythondev | help | I’m familiar with the heap data structure, so I’ve chosen to use `heapq`.
I’ve having difficulty printing / visualizing the data structure, post `heapify`. Anyone have any idea? | 2019-02-15T09:43:27.870100 | Cammie | pythondev_help_Cammie_2019-02-15T09:43:27.870100 | 1,550,223,807.8701 | 9,011 |
pythondev | help | what do you mean, printing/visualizing post heapify? | 2019-02-15T09:49:33.870900 | Hiroko | pythondev_help_Hiroko_2019-02-15T09:49:33.870900 | 1,550,224,173.8709 | 9,012 |
pythondev | help | I want to display the list. | 2019-02-15T09:50:40.871100 | Cammie | pythondev_help_Cammie_2019-02-15T09:50:40.871100 | 1,550,224,240.8711 | 9,013 |
pythondev | help | I’ve tried printing it `heapq`, i’ve tried casting it to a `list` | 2019-02-15T09:50:54.871400 | Cammie | pythondev_help_Cammie_2019-02-15T09:50:54.871400 | 1,550,224,254.8714 | 9,014 |
pythondev | help | I can’t find a way to access the `heapq`’s inner list storage | 2019-02-15T09:51:15.871900 | Cammie | pythondev_help_Cammie_2019-02-15T09:51:15.871900 | 1,550,224,275.8719 | 9,015 |
pythondev | help | well, a heap is a tree | 2019-02-15T09:51:19.872000 | Hiroko | pythondev_help_Hiroko_2019-02-15T09:51:19.872000 | 1,550,224,279.872 | 9,016 |
pythondev | help | effectively, in shape | 2019-02-15T09:51:28.872300 | Hiroko | pythondev_help_Hiroko_2019-02-15T09:51:28.872300 | 1,550,224,288.8723 | 9,017 |
pythondev | help | Agreed. | 2019-02-15T09:51:43.872500 | Cammie | pythondev_help_Cammie_2019-02-15T09:51:43.872500 | 1,550,224,303.8725 | 9,018 |
pythondev | help | but the inner storage is a list. | 2019-02-15T09:51:48.872800 | Cammie | pythondev_help_Cammie_2019-02-15T09:51:48.872800 | 1,550,224,308.8728 | 9,019 |
pythondev | help | I just need to print it. The list, a tree, whatever. | 2019-02-15T09:51:58.873100 | Cammie | pythondev_help_Cammie_2019-02-15T09:51:58.873100 | 1,550,224,318.8731 | 9,020 |
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