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value | sentences stringlengths 1 3.93k | ts stringlengths 26 26 | user stringlengths 2 11 | sentence_id stringlengths 44 53 | timestamp float64 1.5B 1.56B | __index_level_0__ int64 0 106k |
|---|---|---|---|---|---|---|---|
pythondev | help | <@Adrian> and are you using this for a ChoiceField by chance? It doesn't _have_ to be a tuple I don't think, it just needs to be iterable, so `l` probably works as is | 2017-09-07T13:21:20.000065 | Mallie | pythondev_help_Mallie_2017-09-07T13:21:20.000065 | 1,504,790,480.000065 | 92,603 |
pythondev | help | nice find, <@Glinda> :taco: | 2017-09-07T13:22:11.000002 | Meg | pythondev_help_Meg_2017-09-07T13:22:11.000002 | 1,504,790,531.000002 | 92,604 |
pythondev | help | Yes, thanks <@Glinda> :taco: | 2017-09-07T13:23:00.000259 | Margrett | pythondev_help_Margrett_2017-09-07T13:23:00.000259 | 1,504,790,580.000259 | 92,605 |
pythondev | help | Even if it needs to end up being a tuple. It's better to keep it in an some related object until you need to raw tuple. | 2017-09-07T13:23:33.000654 | Glinda | pythondev_help_Glinda_2017-09-07T13:23:33.000654 | 1,504,790,613.000654 | 92,606 |
pythondev | help | That way you can have it throw exceptions when you want do :
a, b = item.var1, item.var2 if it tries to unpack a None or wrong object you can catch that exception to prevent an error. | 2017-09-07T13:24:52.000093 | Glinda | pythondev_help_Glinda_2017-09-07T13:24:52.000093 | 1,504,790,692.000093 | 92,607 |
pythondev | help | Yeah I have lots of shitty experience with importing terrible pandas csv | 2017-09-07T13:25:40.000441 | Glinda | pythondev_help_Glinda_2017-09-07T13:25:40.000441 | 1,504,790,740.000441 | 92,608 |
pythondev | help | csv with variable header location, first few rows with 1,2 columns and the header being at row 10, but row 11 has len(row_10) < len(row_11) and you only want the data that's in that extra row. | 2017-09-07T13:26:47.000626 | Glinda | pythondev_help_Glinda_2017-09-07T13:26:47.000626 | 1,504,790,807.000626 | 92,609 |
pythondev | help | Because the developer didn't think naming that column was important. | 2017-09-07T13:26:58.000401 | Glinda | pythondev_help_Glinda_2017-09-07T13:26:58.000401 | 1,504,790,818.000401 | 92,610 |
pythondev | help | i gave up on giving up, got rid of the orm stuff… made a list of tuples and insert ignored them | 2017-09-07T13:34:08.000188 | Orpha | pythondev_help_Orpha_2017-09-07T13:34:08.000188 | 1,504,791,248.000188 | 92,611 |
pythondev | help | dont need to update because the url to the file wont change even if the file does | 2017-09-07T13:34:37.000228 | Orpha | pythondev_help_Orpha_2017-09-07T13:34:37.000228 | 1,504,791,277.000228 | 92,612 |
pythondev | help | but, it works, its good, thanks for the advise <@Johana> | 2017-09-07T13:35:02.000234 | Orpha | pythondev_help_Orpha_2017-09-07T13:35:02.000234 | 1,504,791,302.000234 | 92,613 |
pythondev | help | Can you remind me about the question/. | 2017-09-07T13:35:06.000678 | Glinda | pythondev_help_Glinda_2017-09-07T13:35:06.000678 | 1,504,791,306.000678 | 92,614 |
pythondev | help | Awesome, thaks for that, gonna look into it, sound definitely better what i used :stuck_out_tongue: <@Glinda> :taco: | 2017-09-07T13:38:35.000574 | Adrian | pythondev_help_Adrian_2017-09-07T13:38:35.000574 | 1,504,791,515.000574 | 92,615 |
pythondev | help | yeah I used it for a choicefield that was created through a django widget | 2017-09-07T13:40:54.000338 | Adrian | pythondev_help_Adrian_2017-09-07T13:40:54.000338 | 1,504,791,654.000338 | 92,616 |
pythondev | help | hello I have a question | 2017-09-07T13:45:12.000421 | Claudine | pythondev_help_Claudine_2017-09-07T13:45:12.000421 | 1,504,791,912.000421 | 92,617 |
pythondev | help | go ahead and just ask <@Claudine> | 2017-09-07T13:46:34.000307 | Beula | pythondev_help_Beula_2017-09-07T13:46:34.000307 | 1,504,791,994.000307 | 92,618 |
pythondev | help | I ended up using this to fix my mixed case header lines:
```
def lower_columns(df):
df.columns=df.columns.str.lower()
col_list = ['subnet_id', 'subnet_addr1']
sub = pd.read_csv(subnet_file, usecols=lambda x : x.lower() in col_list)
lower_columns(sub)
``` | 2017-09-07T13:52:42.000717 | Margrett | pythondev_help_Margrett_2017-09-07T13:52:42.000717 | 1,504,792,362.000717 | 92,619 |
pythondev | help | Hello all. This is the very first time, I am trying something like this in Python. I need help.
I am writing a script that reads from a csv file and gets only the headers and then I need to insert those headers into a table on SQL, but how do I define the datatypes ?
I can only read the header names from csv and not t... | 2017-09-07T14:33:15.000630 | Chasity | pythondev_help_Chasity_2017-09-07T14:33:15.000630 | 1,504,794,795.00063 | 92,620 |
pythondev | help | Are you using a python database orm? | 2017-09-07T14:33:53.000171 | Glinda | pythondev_help_Glinda_2017-09-07T14:33:53.000171 | 1,504,794,833.000171 | 92,621 |
pythondev | help | why do you need to define data type? | 2017-09-07T14:34:04.000379 | Glinda | pythondev_help_Glinda_2017-09-07T14:34:04.000379 | 1,504,794,844.000379 | 92,622 |
pythondev | help | I am trying to create ddl statement which would like create a new table on the sql using the columns I extracted from csv. | 2017-09-07T14:34:50.000368 | Chasity | pythondev_help_Chasity_2017-09-07T14:34:50.000368 | 1,504,794,890.000368 | 92,623 |
pythondev | help | How would I define the datatypes for those columns then ? | 2017-09-07T14:35:03.000117 | Chasity | pythondev_help_Chasity_2017-09-07T14:35:03.000117 | 1,504,794,903.000117 | 92,624 |
pythondev | help | CREATE TABLE TABLE (
COLUMN_NAME DATATYPE(SIZE)); | 2017-09-07T14:35:29.000670 | Chasity | pythondev_help_Chasity_2017-09-07T14:35:29.000670 | 1,504,794,929.00067 | 92,625 |
pythondev | help | As per that definition, I would like to define the datatype and size. | 2017-09-07T14:35:51.000624 | Chasity | pythondev_help_Chasity_2017-09-07T14:35:51.000624 | 1,504,794,951.000624 | 92,626 |
pythondev | help | So if you are reading in csv, you are reading in a string. | 2017-09-07T14:35:59.000687 | Glinda | pythondev_help_Glinda_2017-09-07T14:35:59.000687 | 1,504,794,959.000687 | 92,627 |
pythondev | help | you can represent other items (int, float, string, char, bool, etc) using strings. | 2017-09-07T14:36:20.000228 | Glinda | pythondev_help_Glinda_2017-09-07T14:36:20.000228 | 1,504,794,980.000228 | 92,628 |
pythondev | help | So you need a way of parsing in these values and giving the corresponding string the correct type. | 2017-09-07T14:36:42.000060 | Glinda | pythondev_help_Glinda_2017-09-07T14:36:42.000060 | 1,504,795,002.00006 | 92,629 |
pythondev | help | Can you give an example of a few columns in the header and what you know the data type of each to be? | 2017-09-07T14:37:02.000035 | Glinda | pythondev_help_Glinda_2017-09-07T14:37:02.000035 | 1,504,795,022.000035 | 92,630 |
pythondev | help | Yea, so will I have to parse them manually, or are their any methods that are built in that would help me do it ? | 2017-09-07T14:37:26.000175 | Chasity | pythondev_help_Chasity_2017-09-07T14:37:26.000175 | 1,504,795,046.000175 | 92,631 |
pythondev | help | it really depends on what you have | 2017-09-07T14:40:11.000191 | Glinda | pythondev_help_Glinda_2017-09-07T14:40:11.000191 | 1,504,795,211.000191 | 92,632 |
pythondev | help | If one row of data = | 2017-09-07T14:40:27.000076 | Glinda | pythondev_help_Glinda_2017-09-07T14:40:27.000076 | 1,504,795,227.000076 | 92,633 |
pythondev | help | Let me share the script I have written. | 2017-09-07T14:40:27.000094 | Chasity | pythondev_help_Chasity_2017-09-07T14:40:27.000094 | 1,504,795,227.000094 | 92,634 |
pythondev | help | `True, 1.01, 2, hi, h` | 2017-09-07T14:40:53.000182 | Glinda | pythondev_help_Glinda_2017-09-07T14:40:53.000182 | 1,504,795,253.000182 | 92,635 |
pythondev | help | That will be slightly easier | 2017-09-07T14:41:03.000318 | Glinda | pythondev_help_Glinda_2017-09-07T14:41:03.000318 | 1,504,795,263.000318 | 92,636 |
pythondev | help | What you have written is doing it correctly | 2017-09-07T14:49:07.000069 | Glinda | pythondev_help_Glinda_2017-09-07T14:49:07.000069 | 1,504,795,747.000069 | 92,637 |
pythondev | help | csv datatype = varchar | 2017-09-07T14:49:15.000389 | Glinda | pythondev_help_Glinda_2017-09-07T14:49:15.000389 | 1,504,795,755.000389 | 92,638 |
pythondev | help | or string | 2017-09-07T14:49:23.000335 | Glinda | pythondev_help_Glinda_2017-09-07T14:49:23.000335 | 1,504,795,763.000335 | 92,639 |
pythondev | help | csv is storing your data as a string | 2017-09-07T14:49:52.000540 | Glinda | pythondev_help_Glinda_2017-09-07T14:49:52.000540 | 1,504,795,792.00054 | 92,640 |
pythondev | help | can you paste an example of your header/ dattype | 2017-09-07T14:50:07.000168 | Glinda | pythondev_help_Glinda_2017-09-07T14:50:07.000168 | 1,504,795,807.000168 | 92,641 |
pythondev | help | Sure. | 2017-09-07T14:50:33.000273 | Chasity | pythondev_help_Chasity_2017-09-07T14:50:33.000273 | 1,504,795,833.000273 | 92,642 |
pythondev | help | If this is a one time thing where you'll never read in this data again, you can make adictionary with the headerstring, in this dictionary you'll have 'head_string':'data_type' then you use that relate to your database entry. | 2017-09-07T14:52:45.000336 | Glinda | pythondev_help_Glinda_2017-09-07T14:52:45.000336 | 1,504,795,965.000336 | 92,643 |
pythondev | help | If you do it very often with the same heads, then you can do the same as first option. | 2017-09-07T14:53:04.000241 | Glinda | pythondev_help_Glinda_2017-09-07T14:53:04.000241 | 1,504,795,984.000241 | 92,644 |
pythondev | help | If the heads are different and you need to inspect the actual data this is where it gets complicated. | 2017-09-07T14:53:16.000219 | Glinda | pythondev_help_Glinda_2017-09-07T14:53:16.000219 | 1,504,795,996.000219 | 92,645 |
pythondev | help | I apparently dont understand how python logging works | 2017-09-07T16:24:05.000212 | Signe | pythondev_help_Signe_2017-09-07T16:24:05.000212 | 1,504,801,445.000212 | 92,646 |
pythondev | help | I try to set the logging level to `DEBUG` | 2017-09-07T16:24:14.000531 | Signe | pythondev_help_Signe_2017-09-07T16:24:14.000531 | 1,504,801,454.000531 | 92,647 |
pythondev | help | but debug statements still dont print | 2017-09-07T16:24:23.000106 | Signe | pythondev_help_Signe_2017-09-07T16:24:23.000106 | 1,504,801,463.000106 | 92,648 |
pythondev | help | Here is an MCVE:
```
import logging
mylogger = logging.getLogger('myapp')
mylogger.warn('warn1')
mylogger.debug('debug1')
mylogger.setLevel('DEBUG')
mylogger.warn('warn2')
mylogger.debug('debug2')
``` | 2017-09-07T16:24:29.000239 | Signe | pythondev_help_Signe_2017-09-07T16:24:29.000239 | 1,504,801,469.000239 | 92,649 |
pythondev | help | which prints:
```
warn1
warn2
``` | 2017-09-07T16:24:44.000196 | Signe | pythondev_help_Signe_2017-09-07T16:24:44.000196 | 1,504,801,484.000196 | 92,650 |
pythondev | help | no debug2 | 2017-09-07T16:24:47.000021 | Signe | pythondev_help_Signe_2017-09-07T16:24:47.000021 | 1,504,801,487.000021 | 92,651 |
pythondev | help | You need to call `logging.basicConfig()` first to ensure some handler is set to format it | 2017-09-07T16:28:06.000306 | Beula | pythondev_help_Beula_2017-09-07T16:28:06.000306 | 1,504,801,686.000306 | 92,652 |
pythondev | help | wow | 2017-09-07T16:28:34.000218 | Signe | pythondev_help_Signe_2017-09-07T16:28:34.000218 | 1,504,801,714.000218 | 92,653 |
pythondev | help | thats super dumb | 2017-09-07T16:28:38.000353 | Signe | pythondev_help_Signe_2017-09-07T16:28:38.000353 | 1,504,801,718.000353 | 92,654 |
pythondev | help | ```
>>> import logging
>>> logging.basicConfig()
>>> logger = logging.getLogger('foo')
>>> logger.setLevel(logging.DEBUG)
>>> logger.debug('foobar')
DEBUG:foo:foobar
``` | 2017-09-07T16:29:04.000216 | Beula | pythondev_help_Beula_2017-09-07T16:29:04.000216 | 1,504,801,744.000216 | 92,655 |
pythondev | help | yep. So weird that you have to call it for anything to work. | 2017-09-07T16:29:16.000172 | Signe | pythondev_help_Signe_2017-09-07T16:29:16.000172 | 1,504,801,756.000172 | 92,656 |
pythondev | help | would expect that to be default | 2017-09-07T16:29:29.000084 | Signe | pythondev_help_Signe_2017-09-07T16:29:29.000084 | 1,504,801,769.000084 | 92,657 |
pythondev | help | <https://docs.python.org/3/library/logging.html#logging.basicConfig>
> Does basic configuration for the logging system by creating a StreamHandler with a default Formatter and adding it to the root logger. The functions debug(), info(), warning(), error() and critical() will call basicConfig() automatically if no ha... | 2017-09-07T16:30:08.000274 | Beula | pythondev_help_Beula_2017-09-07T16:30:08.000274 | 1,504,801,808.000274 | 92,658 |
pythondev | help | well.. I thought I was crazy for the longest time | 2017-09-07T16:30:36.000466 | Signe | pythondev_help_Signe_2017-09-07T16:30:36.000466 | 1,504,801,836.000466 | 92,659 |
pythondev | help | Haha, yeah - python logging could use an overhaul | 2017-09-07T16:30:46.000659 | Beula | pythondev_help_Beula_2017-09-07T16:30:46.000659 | 1,504,801,846.000659 | 92,660 |
pythondev | help | e.g. make it pythonic for a start | 2017-09-07T16:30:54.000415 | Beula | pythondev_help_Beula_2017-09-07T16:30:54.000415 | 1,504,801,854.000415 | 92,661 |
pythondev | help | idea for a 3rd party package? | 2017-09-07T16:31:05.000409 | Signe | pythondev_help_Signe_2017-09-07T16:31:05.000409 | 1,504,801,865.000409 | 92,662 |
pythondev | help | a pythonic, sane, logger? | 2017-09-07T16:31:14.000100 | Signe | pythondev_help_Signe_2017-09-07T16:31:14.000100 | 1,504,801,874.0001 | 92,663 |
pythondev | help | that uses `.format` syntax | 2017-09-07T16:31:22.000165 | Signe | pythondev_help_Signe_2017-09-07T16:31:22.000165 | 1,504,801,882.000165 | 92,664 |
pythondev | help | I'd rather ship apps :smile: ¯\_(ツ)_/¯ | 2017-09-07T16:33:02.000457 | Beula | pythondev_help_Beula_2017-09-07T16:33:02.000457 | 1,504,801,982.000457 | 92,665 |
pythondev | help | but it isn't a bad idea, one thing it should include is a better way to do MDC logging | 2017-09-07T16:33:28.000413 | Beula | pythondev_help_Beula_2017-09-07T16:33:28.000413 | 1,504,802,008.000413 | 92,666 |
pythondev | help | I mean, it could just read the stack | 2017-09-07T16:35:02.000285 | Signe | pythondev_help_Signe_2017-09-07T16:35:02.000285 | 1,504,802,102.000285 | 92,667 |
pythondev | help | <@Signe> <@Beula> I recall reading an article about <https://github.com/jd/daiquiri>
It set up a modern logging configuration so you don't have to | 2017-09-07T17:00:34.000189 | Kiersten | pythondev_help_Kiersten_2017-09-07T17:00:34.000189 | 1,504,803,634.000189 | 92,668 |
pythondev | help | Found it:
<https://julien.danjou.info/blog/python-logging-easy-with-daiquiri> | 2017-09-07T17:01:58.000167 | Kiersten | pythondev_help_Kiersten_2017-09-07T17:01:58.000167 | 1,504,803,718.000167 | 92,669 |
pythondev | help | Looks like it has some niceties, color by default to a terminal is nice | 2017-09-07T17:04:29.000305 | Beula | pythondev_help_Beula_2017-09-07T17:04:29.000305 | 1,504,803,869.000305 | 92,670 |
pythondev | help | Why did they do the same `getLogger` thing :disappointed: | 2017-09-07T17:06:11.000077 | Beula | pythondev_help_Beula_2017-09-07T17:06:11.000077 | 1,504,803,971.000077 | 92,671 |
pythondev | help | ¯\_(ツ)_/¯ | 2017-09-07T17:12:39.000036 | Kiersten | pythondev_help_Kiersten_2017-09-07T17:12:39.000036 | 1,504,804,359.000036 | 92,672 |
pythondev | help | I worked with a guy who spend a huge amount of time writing his own logger. | 2017-09-07T17:15:14.000190 | Junita | pythondev_help_Junita_2017-09-07T17:15:14.000190 | 1,504,804,514.00019 | 92,673 |
pythondev | help | really smart guy, but it was a huge waste of time | 2017-09-07T17:15:20.000413 | Junita | pythondev_help_Junita_2017-09-07T17:15:20.000413 | 1,504,804,520.000413 | 92,674 |
pythondev | help | I used logzero and I can't recommend it enough. It's relation to logging is like requests to urllib. <https://github.com/metachris/logzero> | 2017-09-07T17:24:29.000332 | Betsy | pythondev_help_Betsy_2017-09-07T17:24:29.000332 | 1,504,805,069.000332 | 92,675 |
pythondev | help | That one looks pretty solid <@Betsy> - thanks! :taco: | 2017-09-07T17:27:35.000517 | Beula | pythondev_help_Beula_2017-09-07T17:27:35.000517 | 1,504,805,255.000517 | 92,676 |
pythondev | help | ooooh nice! thanks <@Betsy> :taco: | 2017-09-07T17:28:24.000275 | Kiersten | pythondev_help_Kiersten_2017-09-07T17:28:24.000275 | 1,504,805,304.000275 | 92,677 |
pythondev | help | Sure thing, thanks for the tacos :laughing: | 2017-09-07T17:29:24.000285 | Betsy | pythondev_help_Betsy_2017-09-07T17:29:24.000285 | 1,504,805,364.000285 | 92,678 |
pythondev | help | hi | 2017-09-07T18:41:22.000216 | Liane | pythondev_help_Liane_2017-09-07T18:41:22.000216 | 1,504,809,682.000216 | 92,679 |
pythondev | help | hey <#C07EFMZ1N|help> -ers, I’m looking at the documentation for `functools.partials` (<https://docs.python.org/3.5/library/functools.html?highlight=functools#functools.partial>) and it’s pretty late. Can someone eli5 why the example assigns `.func`, `.args` and `.keywords` attributes to the returned function? | 2017-09-07T22:57:54.000046 | Winnifred | pythondev_help_Winnifred_2017-09-07T22:57:54.000046 | 1,504,825,074.000046 | 92,680 |
pythondev | help | <@Winnifred> It's just showing how they implement it, so the short is they store the "partial application" as attributes on the function object | 2017-09-07T22:59:40.000047 | Beula | pythondev_help_Beula_2017-09-07T22:59:40.000047 | 1,504,825,180.000047 | 92,681 |
pythondev | help | You can see the source here: <https://github.com/python/cpython/blob/3.5/Lib/functools.py#L240> | 2017-09-07T22:59:47.000055 | Beula | pythondev_help_Beula_2017-09-07T22:59:47.000055 | 1,504,825,187.000055 | 92,682 |
pythondev | help | Then later when the partial is actually called, it merges any additional args/kwargs with those stored values and calls the function | 2017-09-07T23:02:02.000121 | Beula | pythondev_help_Beula_2017-09-07T23:02:02.000121 | 1,504,825,322.000121 | 92,683 |
pythondev | help | ahhhhh | 2017-09-07T23:02:09.000156 | Winnifred | pythondev_help_Winnifred_2017-09-07T23:02:09.000156 | 1,504,825,329.000156 | 92,684 |
pythondev | help | nice | 2017-09-07T23:02:11.000041 | Winnifred | pythondev_help_Winnifred_2017-09-07T23:02:11.000041 | 1,504,825,331.000041 | 92,685 |
pythondev | help | okay | 2017-09-07T23:02:12.000023 | Winnifred | pythondev_help_Winnifred_2017-09-07T23:02:12.000023 | 1,504,825,332.000023 | 92,686 |
pythondev | help | thanks <@Beula> :taco: | 2017-09-07T23:02:31.000057 | Winnifred | pythondev_help_Winnifred_2017-09-07T23:02:31.000057 | 1,504,825,351.000057 | 92,687 |
pythondev | help | note to self, go to source code :slightly_smiling_face: | 2017-09-07T23:02:55.000029 | Winnifred | pythondev_help_Winnifred_2017-09-07T23:02:55.000029 | 1,504,825,375.000029 | 92,688 |
pythondev | help | :thumbsup::skin-tone-4: If you haven't seen it, there is a link on the top of many of the pages to jump to the file on github | 2017-09-07T23:04:55.000117 | Beula | pythondev_help_Beula_2017-09-07T23:04:55.000117 | 1,504,825,495.000117 | 92,689 |
pythondev | help | Is this an acceptable way to build this SQL string? In its current state, it works. | 2017-09-08T00:16:53.000195 | Virgen | pythondev_help_Virgen_2017-09-08T00:16:53.000195 | 1,504,829,813.000195 | 92,690 |
pythondev | help | is there a better way to achieve this goal? | 2017-09-08T00:17:25.000171 | Virgen | pythondev_help_Virgen_2017-09-08T00:17:25.000171 | 1,504,829,845.000171 | 92,691 |
pythondev | help | I had asked a similar question yesterday and was advised to read the following article. | 2017-09-08T00:19:13.000111 | Virgen | pythondev_help_Virgen_2017-09-08T00:19:13.000111 | 1,504,829,953.000111 | 92,692 |
pythondev | help | <https://www.digitalocean.com/community/tutorials/how-to-use-string-formatters-in-python-3> | 2017-09-08T00:19:17.000049 | Virgen | pythondev_help_Virgen_2017-09-08T00:19:17.000049 | 1,504,829,957.000049 | 92,693 |
pythondev | help | <@Virgen> not if any of that data is from a user input/untrusted source | 2017-09-08T00:19:17.000087 | Beula | pythondev_help_Beula_2017-09-08T00:19:17.000087 | 1,504,829,957.000087 | 92,694 |
pythondev | help | That opens yourself up to "sql injection" | 2017-09-08T00:19:29.000039 | Beula | pythondev_help_Beula_2017-09-08T00:19:29.000039 | 1,504,829,969.000039 | 92,695 |
pythondev | help | the data is from an API. | 2017-09-08T00:19:48.000009 | Virgen | pythondev_help_Virgen_2017-09-08T00:19:48.000009 | 1,504,829,988.000009 | 92,696 |
pythondev | help | It's still best to use parametrized queries - what db are you using? | 2017-09-08T00:20:07.000008 | Beula | pythondev_help_Beula_2017-09-08T00:20:07.000008 | 1,504,830,007.000008 | 92,697 |
pythondev | help | I get a JSON dump from the API, this then builds the sql statement to dump the data into teh DB. | 2017-09-08T00:20:23.000019 | Virgen | pythondev_help_Virgen_2017-09-08T00:20:23.000019 | 1,504,830,023.000019 | 92,698 |
pythondev | help | mssql2016 express | 2017-09-08T00:20:47.000101 | Virgen | pythondev_help_Virgen_2017-09-08T00:20:47.000101 | 1,504,830,047.000101 | 92,699 |
pythondev | help | with `pymssql`?
```
cursor.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')
``` | 2017-09-08T00:21:41.000102 | Beula | pythondev_help_Beula_2017-09-08T00:21:41.000102 | 1,504,830,101.000102 | 92,700 |
pythondev | help | pyodbc | 2017-09-08T00:22:03.000087 | Virgen | pythondev_help_Virgen_2017-09-08T00:22:03.000087 | 1,504,830,123.000087 | 92,701 |
pythondev | help | is ```pymssql``` a better option than ```pyodbc```? | 2017-09-08T00:23:03.000042 | Virgen | pythondev_help_Virgen_2017-09-08T00:23:03.000042 | 1,504,830,183.000042 | 92,702 |
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