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pythondev | help | So the only thing I can get is 762, 64 for X and 762,1 for y | 2017-10-17T08:29:18.000043 | Christin | pythondev_help_Christin_2017-10-17T08:29:18.000043 | 1,508,228,958.000043 | 97,103 |
pythondev | help | Heres how Im making the data | 2017-10-17T08:30:18.000539 | Christin | pythondev_help_Christin_2017-10-17T08:30:18.000539 | 1,508,229,018.000539 | 97,104 |
pythondev | help | ```def preprocessing(file_name):
# Generate numpy array from csv file
csv = np.genfromtxt (file_name, delimiter=",")
# Initialize matrices
X = []
y = []
# Filter data
for i in range(len(csv)):
if csv[i][64] == 8 or csv[i][64] == 9:
X.append(csv[i][:64])
y.append([csv[i][64]])
return np.array(X), np.array(y)``` | 2017-10-17T08:30:22.000034 | Christin | pythondev_help_Christin_2017-10-17T08:30:22.000034 | 1,508,229,022.000034 | 97,105 |
pythondev | help | Yes, you’re not constructing them with the same size. | 2017-10-17T08:32:11.000038 | Patty | pythondev_help_Patty_2017-10-17T08:32:11.000038 | 1,508,229,131.000038 | 97,106 |
pythondev | help | Think about it this way: how would you even plot that? | 2017-10-17T08:32:15.000009 | Patty | pythondev_help_Patty_2017-10-17T08:32:15.000009 | 1,508,229,135.000009 | 97,107 |
pythondev | help | I agree I can't plot that | 2017-10-17T08:33:11.000011 | Christin | pythondev_help_Christin_2017-10-17T08:33:11.000011 | 1,508,229,191.000011 | 97,108 |
pythondev | help | So I guess I have to add columns? columns of zeroes? | 2017-10-17T08:33:23.000190 | Christin | pythondev_help_Christin_2017-10-17T08:33:23.000190 | 1,508,229,203.00019 | 97,109 |
pythondev | help | I don’t know what value to give them as I don’t know what the data is or what you’re trying to accomplish | 2017-10-17T08:34:27.000170 | Patty | pythondev_help_Patty_2017-10-17T08:34:27.000170 | 1,508,229,267.00017 | 97,110 |
pythondev | help | Im just trying to make a binary classifier (8 or 9 instead of 1 -1) using linear regression | 2017-10-17T08:34:54.000449 | Christin | pythondev_help_Christin_2017-10-17T08:34:54.000449 | 1,508,229,294.000449 | 97,111 |
pythondev | help | I just have numbers as data | 2017-10-17T08:35:02.000193 | Christin | pythondev_help_Christin_2017-10-17T08:35:02.000193 | 1,508,229,302.000193 | 97,112 |
pythondev | help | randomly generated | 2017-10-17T08:35:10.000444 | Christin | pythondev_help_Christin_2017-10-17T08:35:10.000444 | 1,508,229,310.000444 | 97,113 |
pythondev | help | I have 65 columns, the first 64 are the features and the last one is the output (8 or 9) | 2017-10-17T08:36:22.000423 | Christin | pythondev_help_Christin_2017-10-17T08:36:22.000423 | 1,508,229,382.000423 | 97,114 |
pythondev | help | Why scatterplot? | 2017-10-17T08:48:42.000353 | Scot | pythondev_help_Scot_2017-10-17T08:48:42.000353 | 1,508,230,122.000353 | 97,115 |
pythondev | help | I was just splitting my training sets incorrectly, everything worked fine with i used splitting with sklearn <@Patty> <@Scot> | 2017-10-17T10:12:44.000641 | Christin | pythondev_help_Christin_2017-10-17T10:12:44.000641 | 1,508,235,164.000641 | 97,116 |
pythondev | help | Thank you! | 2017-10-17T10:12:56.000713 | Christin | pythondev_help_Christin_2017-10-17T10:12:56.000713 | 1,508,235,176.000713 | 97,117 |
pythondev | help | hey is it possible to pass a variable within a dictionary ? | 2017-10-17T11:05:42.000026 | Burma | pythondev_help_Burma_2017-10-17T11:05:42.000026 | 1,508,238,342.000026 | 97,118 |
pythondev | help | not sure what you mean, but you can pass a dictionary | 2017-10-17T11:09:02.000375 | Sirena | pythondev_help_Sirena_2017-10-17T11:09:02.000375 | 1,508,238,542.000375 | 97,119 |
pythondev | help | for example taking raw input and passing in to the value of a dictionary | 2017-10-17T11:09:36.000243 | Burma | pythondev_help_Burma_2017-10-17T11:09:36.000243 | 1,508,238,576.000243 | 97,120 |
pythondev | help | ```adict = {}
myresult = myfunc(adict)```
is valid | 2017-10-17T11:09:37.000048 | Sirena | pythondev_help_Sirena_2017-10-17T11:09:37.000048 | 1,508,238,577.000048 | 97,121 |
pythondev | help | ```user = raw_input('please enter username: ')
passw = raw_input('please enter password: ')
payload = {"username": 'user',
"password": 'pass',
"Content-Type":"application/json",
}``` | 2017-10-17T11:10:31.000806 | Burma | pythondev_help_Burma_2017-10-17T11:10:31.000806 | 1,508,238,631.000806 | 97,122 |
pythondev | help | if you put `'` you create the string `user` but if you don't put them you reference the variable user | 2017-10-17T11:11:20.000214 | Ciera | pythondev_help_Ciera_2017-10-17T11:11:20.000214 | 1,508,238,680.000214 | 97,123 |
pythondev | help | yah, you want the vars, not the strings, so remove the quotes around the varnames | 2017-10-17T11:12:30.000087 | Sirena | pythondev_help_Sirena_2017-10-17T11:12:30.000087 | 1,508,238,750.000087 | 97,124 |
pythondev | help | Thanks for that I'll give it a try | 2017-10-17T11:14:06.000461 | Burma | pythondev_help_Burma_2017-10-17T11:14:06.000461 | 1,508,238,846.000461 | 97,125 |
pythondev | help | Hey folks. I'm a relative noob, but I've been doing some self learning for a while and I'm looking to break into a technical role.
I'm talking with a person about a position that requires "strong Python and SQL skills". I'm most experienced with Python, but on the main project I worked on that would have required SQL (a flask web app) , I ended up using SQLAlchemy instead of writing SQL statements. I have a basic understanding of SQL though, and could figure out more complex queries with some extra time. | 2017-10-17T11:40:30.000580 | Kenny | pythondev_help_Kenny_2017-10-17T11:40:30.000580 | 1,508,240,430.00058 | 97,126 |
pythondev | help | Say they see my resume, decide to call me, and ask about my SQL skills. Would it be reasonable for me to say something like, "Well, I have a basic foundation in SQL, but perhaps to handle some more complex queries I'd set up and use SQLAlchemy"? Or would I get laughed off the phone? | 2017-10-17T11:40:38.000703 | Kenny | pythondev_help_Kenny_2017-10-17T11:40:38.000703 | 1,508,240,438.000703 | 97,127 |
pythondev | help | I wouldn't mention ORM until they ask | 2017-10-17T11:42:10.000133 | Suellen | pythondev_help_Suellen_2017-10-17T11:42:10.000133 | 1,508,240,530.000133 | 97,128 |
pythondev | help | actually don't tell them anything and only answer questions they ask you, that's a safe bet | 2017-10-17T11:42:32.000524 | Suellen | pythondev_help_Suellen_2017-10-17T11:42:32.000524 | 1,508,240,552.000524 | 97,129 |
pythondev | help | did you use sqlalchemy orm or the core? | 2017-10-17T11:45:01.000047 | Johana | pythondev_help_Johana_2017-10-17T11:45:01.000047 | 1,508,240,701.000047 | 97,130 |
pythondev | help | orm | 2017-10-17T11:47:12.000198 | Kenny | pythondev_help_Kenny_2017-10-17T11:47:12.000198 | 1,508,240,832.000198 | 97,131 |
pythondev | help | start learning the core. it will not be that hard of a jump knowing the ORM. the ORM is built on the core which at its heart is a Domain Specific Language (DSL) for SQL that is written in python. The syntax is really similar to what SQL statements look like. When you feel comfortable writing SQL core queries then you can answer confidently that maybe you don’t have a lot of experience writing raw sql b/c you like to use tools that take care of parameter binding and reduce risks of sql injection. You can also say with confidence you understand what makes up SQL and don’t think it would be difficult to learn since you know sqlalchemy core and orm. | 2017-10-17T11:57:04.000752 | Johana | pythondev_help_Johana_2017-10-17T11:57:04.000752 | 1,508,241,424.000752 | 97,132 |
pythondev | help | and to add a nice resource to practice … | 2017-10-17T11:58:33.000107 | Winnifred | pythondev_help_Winnifred_2017-10-17T11:58:33.000107 | 1,508,241,513.000107 | 97,133 |
pythondev | help | <http://sqlzoo.net/> | 2017-10-17T11:58:35.000099 | Winnifred | pythondev_help_Winnifred_2017-10-17T11:58:35.000099 | 1,508,241,515.000099 | 97,134 |
pythondev | help | SQLAlchemy is a very useful abstraction layer on top of the database. I’m sort of the opposite. I came into SQLAlchemy from the database world so I had already nearly written applications in raw SQL. That’s one of the reasons I found Python. I needed more power! | 2017-10-17T11:59:23.000940 | Johana | pythondev_help_Johana_2017-10-17T11:59:23.000940 | 1,508,241,563.00094 | 97,135 |
pythondev | help | you can also dump the sqlalchemy queries and study them. | 2017-10-17T11:59:55.000340 | Johana | pythondev_help_Johana_2017-10-17T11:59:55.000340 | 1,508,241,595.00034 | 97,136 |
pythondev | help | i gotz all sorts of sqlalchemy tricks in here: <https://github.com/openstax/biglearn-sparfa-server/blob/master/sparfa_server/db.py> | 2017-10-17T12:01:24.000555 | Johana | pythondev_help_Johana_2017-10-17T12:01:24.000555 | 1,508,241,684.000555 | 97,137 |
pythondev | help | I’ve done plenty of interviews where i may not have been an expert on many parts of the job but if i was able to display with confidence my capability to adapt and learn then that made all the difference. | 2017-10-17T12:02:37.000620 | Johana | pythondev_help_Johana_2017-10-17T12:02:37.000620 | 1,508,241,757.00062 | 97,138 |
pythondev | help | Awesome! Thanks <@Johana> for those ideas and <@Winnifred> for that resource. | 2017-10-17T12:03:02.000215 | Kenny | pythondev_help_Kenny_2017-10-17T12:03:02.000215 | 1,508,241,782.000215 | 97,139 |
pythondev | help | Yeah, that's what I'm banking on here. I have a foundation to work from at least, but depending on how long it takes from resume submission to phone interview, I just wanted to have _something_ to say | 2017-10-17T12:04:02.000097 | Kenny | pythondev_help_Kenny_2017-10-17T12:04:02.000097 | 1,508,241,842.000097 | 97,140 |
pythondev | help | yea, the safe answer is typically, “i like to use tools that take care of parameter binding and reduce risks of sql injection, like sqlalchemy which i’ve done …. yada yada .” | 2017-10-17T12:07:30.000183 | Johana | pythondev_help_Johana_2017-10-17T12:07:30.000183 | 1,508,242,050.000183 | 97,141 |
pythondev | help | dbapi? :stuck_out_tongue: | 2017-10-17T12:07:47.000754 | Suellen | pythondev_help_Suellen_2017-10-17T12:07:47.000754 | 1,508,242,067.000754 | 97,142 |
pythondev | help | sqlalchemy is a cool toolkit as it doesn’t hide too much of the database away. in other ecosystems a lot of devs don’t even know what the db schema looks like. | 2017-10-17T12:12:01.000419 | Johana | pythondev_help_Johana_2017-10-17T12:12:01.000419 | 1,508,242,321.000419 | 97,143 |
pythondev | help | cough* .NET | 2017-10-17T12:12:39.000031 | Johana | pythondev_help_Johana_2017-10-17T12:12:39.000031 | 1,508,242,359.000031 | 97,144 |
pythondev | help | h i b e r n a t e | 2017-10-17T12:12:55.000211 | Suellen | pythondev_help_Suellen_2017-10-17T12:12:55.000211 | 1,508,242,375.000211 | 97,145 |
pythondev | help | I love SQLA for this. Once I saw that m2m tables are not abstracted away I fell for Alchemy hard.. | 2017-10-17T12:13:40.000358 | Suellen | pythondev_help_Suellen_2017-10-17T12:13:40.000358 | 1,508,242,420.000358 | 97,146 |
pythondev | help | yea, when i was instantly talking to the database and being productive i was sold. i gotta admit though it changes your thinking. when you come strictly from the db world you think about data as sets. You don’t think about working at the individual row level and iterating. Then when you get into programming it flips your mindset. | 2017-10-17T12:15:20.000320 | Johana | pythondev_help_Johana_2017-10-17T12:15:20.000320 | 1,508,242,520.00032 | 97,147 |
pythondev | help | the last thing you want is a cursor b/c it’s slow. | 2017-10-17T12:16:16.000007 | Johana | pythondev_help_Johana_2017-10-17T12:16:16.000007 | 1,508,242,576.000007 | 97,148 |
pythondev | help | <@Kenny> You could also review some SQL interview questions and do some SQL problems on Hacker Rank or something. It's unlikely anything will get much deeper than what you could get out of playing around with that stuff for a bit | 2017-10-17T12:22:24.000243 | Mallie | pythondev_help_Mallie_2017-10-17T12:22:24.000243 | 1,508,242,944.000243 | 97,149 |
pythondev | help | That may not change your self-assessment of SQL skillz, nor should it, but chances are they will ask a handful of things that are easily covered by those sorts of resources | 2017-10-17T12:23:03.000683 | Mallie | pythondev_help_Mallie_2017-10-17T12:23:03.000683 | 1,508,242,983.000683 | 97,150 |
pythondev | help | I've yet to use SQL Alchemy. Is an ORM really that much better than just writing SQL? | 2017-10-17T13:55:07.000147 | Meghan | pythondev_help_Meghan_2017-10-17T13:55:07.000147 | 1,508,248,507.000147 | 97,151 |
pythondev | help | for about 80-90% of the stuff you do, yeah | 2017-10-17T13:55:38.000094 | Meg | pythondev_help_Meg_2017-10-17T13:55:38.000094 | 1,508,248,538.000094 | 97,152 |
pythondev | help | but there are cases where raw sql is better | 2017-10-17T13:55:47.000559 | Meg | pythondev_help_Meg_2017-10-17T13:55:47.000559 | 1,508,248,547.000559 | 97,153 |
pythondev | help | especially with optimized queries and such. in addition, some ORMs can create lots of duplicate queries during the compilation process | 2017-10-17T13:56:15.000460 | Meg | pythondev_help_Meg_2017-10-17T13:56:15.000460 | 1,508,248,575.00046 | 97,154 |
pythondev | help | What is the advantage of it? | 2017-10-17T13:57:54.000282 | Meghan | pythondev_help_Meghan_2017-10-17T13:57:54.000282 | 1,508,248,674.000282 | 97,155 |
pythondev | help | ease of use | 2017-10-17T13:58:07.000255 | Meg | pythondev_help_Meg_2017-10-17T13:58:07.000255 | 1,508,248,687.000255 | 97,156 |
pythondev | help | makes quite a few things easier when executing queries | 2017-10-17T13:58:41.000073 | Meg | pythondev_help_Meg_2017-10-17T13:58:41.000073 | 1,508,248,721.000073 | 97,157 |
pythondev | help | Interesting. May have to give it a try some time. Since we've switched to DreamFactory I'm usually just calling a stored procedure through a rest api. | 2017-10-17T13:59:32.000556 | Meghan | pythondev_help_Meghan_2017-10-17T13:59:32.000556 | 1,508,248,772.000556 | 97,158 |
pythondev | help | then you gotta write that query… | 2017-10-17T14:00:02.000249 | Meg | pythondev_help_Meg_2017-10-17T14:00:02.000249 | 1,508,248,802.000249 | 97,159 |
pythondev | help | Yes. Most of them are easy though. | 2017-10-17T14:00:22.000089 | Meghan | pythondev_help_Meghan_2017-10-17T14:00:22.000089 | 1,508,248,822.000089 | 97,160 |
pythondev | help | I mean, I wouldn’t want to write this query out by hand | 2017-10-17T14:00:44.000651 | Meg | pythondev_help_Meg_2017-10-17T14:00:44.000651 | 1,508,248,844.000651 | 97,161 |
pythondev | help | Most of our data isn't all that relational. Lots of small projects with hundreds of thousands of records, but relatively flat. | 2017-10-17T14:00:56.000431 | Meghan | pythondev_help_Meghan_2017-10-17T14:00:56.000431 | 1,508,248,856.000431 | 97,162 |
pythondev | help | Haha, nah, no interest in writing that. | 2017-10-17T14:01:24.000503 | Meghan | pythondev_help_Meghan_2017-10-17T14:01:24.000503 | 1,508,248,884.000503 | 97,163 |
pythondev | help | with that, its basically fifteen lines in Django ORM, | 2017-10-17T14:01:57.000432 | Meg | pythondev_help_Meg_2017-10-17T14:01:57.000432 | 1,508,248,917.000432 | 97,164 |
pythondev | help | how many records is that ? | 2017-10-17T14:02:06.000284 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:02:06.000284 | 1,508,248,926.000284 | 97,165 |
pythondev | help | me or <@Meghan>? | 2017-10-17T14:02:34.000014 | Meg | pythondev_help_Meg_2017-10-17T14:02:34.000014 | 1,508,248,954.000014 | 97,166 |
pythondev | help | Sorry, you, should have specified :slightly_smiling_face: | 2017-10-17T14:03:05.000590 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:03:05.000590 | 1,508,248,985.00059 | 97,167 |
pythondev | help | hmm, small database but with plenty of tables | 2017-10-17T14:03:26.000083 | Meg | pythondev_help_Meg_2017-10-17T14:03:26.000083 | 1,508,249,006.000083 | 97,168 |
pythondev | help | so, for this particular query, it aggregates over about 8k rows | 2017-10-17T14:03:38.000471 | Meg | pythondev_help_Meg_2017-10-17T14:03:38.000471 | 1,508,249,018.000471 | 97,169 |
pythondev | help | ah, gotcha | 2017-10-17T14:04:35.000083 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:04:35.000083 | 1,508,249,075.000083 | 97,170 |
pythondev | help | so I basically made a model manager in django | 2017-10-17T14:04:59.000296 | Meg | pythondev_help_Meg_2017-10-17T14:04:59.000296 | 1,508,249,099.000296 | 97,171 |
pythondev | help | created a metrics method to aggregate | 2017-10-17T14:05:08.000207 | Meg | pythondev_help_Meg_2017-10-17T14:05:08.000207 | 1,508,249,108.000207 | 97,172 |
pythondev | help | and I pass in extra fields in a dict with the evaluation to occur | 2017-10-17T14:05:28.000464 | Meg | pythondev_help_Meg_2017-10-17T14:05:28.000464 | 1,508,249,128.000464 | 97,173 |
pythondev | help | i’d like to write that just to reminisce on my T-SQL and PL/SQL days | 2017-10-17T14:07:03.000094 | Patty | pythondev_help_Patty_2017-10-17T14:07:03.000094 | 1,508,249,223.000094 | 97,174 |
pythondev | help | masochist :smile: | 2017-10-17T14:07:15.000234 | Meg | pythondev_help_Meg_2017-10-17T14:07:15.000234 | 1,508,249,235.000234 | 97,175 |
pythondev | help | Should the ORM create the schema or is it better to adapt to an existing one? | 2017-10-17T14:09:01.000662 | Meghan | pythondev_help_Meghan_2017-10-17T14:09:01.000662 | 1,508,249,341.000662 | 97,176 |
pythondev | help | you can do both | 2017-10-17T14:09:23.000466 | Meg | pythondev_help_Meg_2017-10-17T14:09:23.000466 | 1,508,249,363.000466 | 97,177 |
pythondev | help | django will let you create models from an existing schema | 2017-10-17T14:09:31.000616 | Meg | pythondev_help_Meg_2017-10-17T14:09:31.000616 | 1,508,249,371.000616 | 97,178 |
pythondev | help | or you can create it from your model definition | 2017-10-17T14:09:40.000064 | Meg | pythondev_help_Meg_2017-10-17T14:09:40.000064 | 1,508,249,380.000064 | 97,179 |
pythondev | help | <@Meg>, do you cache a lot of your queries? | 2017-10-17T14:13:57.000348 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:13:57.000348 | 1,508,249,637.000348 | 97,180 |
pythondev | help | yes | 2017-10-17T14:15:16.000001 | Meg | pythondev_help_Meg_2017-10-17T14:15:16.000001 | 1,508,249,716.000001 | 97,181 |
pythondev | help | and profile | 2017-10-17T14:15:19.000714 | Meg | pythondev_help_Meg_2017-10-17T14:15:19.000714 | 1,508,249,719.000714 | 97,182 |
pythondev | help | `django-silk` really comes in handy | 2017-10-17T14:15:25.000813 | Meg | pythondev_help_Meg_2017-10-17T14:15:25.000813 | 1,508,249,725.000813 | 97,183 |
pythondev | help | but caching is a little tricky because you basically have to try to strike a happy medium between cache lifetime and new data | 2017-10-17T14:16:10.000074 | Meg | pythondev_help_Meg_2017-10-17T14:16:10.000074 | 1,508,249,770.000074 | 97,184 |
pythondev | help | ah, nice, I need to figure out efficient caching | 2017-10-17T14:18:49.000505 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:18:49.000505 | 1,508,249,929.000505 | 97,185 |
pythondev | help | what are you using? | 2017-10-17T14:20:12.000092 | Meg | pythondev_help_Meg_2017-10-17T14:20:12.000092 | 1,508,250,012.000092 | 97,186 |
pythondev | help | no current projects right now, but I was running into problems with ORMs and large queries out of a redshift instance | 2017-10-17T14:21:21.000344 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:21:21.000344 | 1,508,250,081.000344 | 97,187 |
pythondev | help | but I think this is because I hadn’t transformed the data enough to get the data to a point where it requires a simple query | 2017-10-17T14:21:56.000368 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:21:56.000368 | 1,508,250,116.000368 | 97,188 |
pythondev | help | We've been using django-cachlot for a while and haven't had any real problems with it: <https://github.com/BertrandBordage/django-cachalot> | 2017-10-17T14:22:33.000178 | Mallie | pythondev_help_Mallie_2017-10-17T14:22:33.000178 | 1,508,250,153.000178 | 97,189 |
pythondev | help | Perhaps that doesn't sound like a resounding endorsement lol but what I mean is it does what it says and we haven't had any painful gotchas | 2017-10-17T14:23:11.000171 | Mallie | pythondev_help_Mallie_2017-10-17T14:23:11.000171 | 1,508,250,191.000171 | 97,190 |
pythondev | help | hahaha | 2017-10-17T14:24:30.000239 | Meg | pythondev_help_Meg_2017-10-17T14:24:30.000239 | 1,508,250,270.000239 | 97,191 |
pythondev | help | how can you ask for more? | 2017-10-17T14:24:35.000087 | Meg | pythondev_help_Meg_2017-10-17T14:24:35.000087 | 1,508,250,275.000087 | 97,192 |
pythondev | help | would definitely give it a :thumbsup: | 2017-10-17T14:26:28.000345 | Mallie | pythondev_help_Mallie_2017-10-17T14:26:28.000345 | 1,508,250,388.000345 | 97,193 |
pythondev | help | Hi all - simple question. How can I print out the contents of a generator object? | 2017-10-17T14:27:19.000256 | Amie | pythondev_help_Amie_2017-10-17T14:27:19.000256 | 1,508,250,439.000256 | 97,194 |
pythondev | help | ```<flask_restplus.reqparse.RequestParser object at 0x1132b3ed0>``` | 2017-10-17T14:27:22.000430 | Amie | pythondev_help_Amie_2017-10-17T14:27:22.000430 | 1,508,250,442.00043 | 97,195 |
pythondev | help | Iterating through does not work, nor does coercing to a string. | 2017-10-17T14:28:11.000771 | Amie | pythondev_help_Amie_2017-10-17T14:28:11.000771 | 1,508,250,491.000771 | 97,196 |
pythondev | help | sure, you just have to consume it first | 2017-10-17T14:28:18.000289 | Frieda | pythondev_help_Frieda_2017-10-17T14:28:18.000289 | 1,508,250,498.000289 | 97,197 |
pythondev | help | `next(obj)` ? | 2017-10-17T14:28:24.000100 | Winnifred | pythondev_help_Winnifred_2017-10-17T14:28:24.000100 | 1,508,250,504.0001 | 97,198 |
pythondev | help | In what manner <@Frieda> | 2017-10-17T14:29:23.000615 | Amie | pythondev_help_Amie_2017-10-17T14:29:23.000615 | 1,508,250,563.000615 | 97,199 |
pythondev | help | generally convert to a list or some similar thing | 2017-10-17T14:30:16.000127 | Sirena | pythondev_help_Sirena_2017-10-17T14:30:16.000127 | 1,508,250,616.000127 | 97,200 |
pythondev | help | list(generator) | 2017-10-17T14:30:20.000036 | Sirena | pythondev_help_Sirena_2017-10-17T14:30:20.000036 | 1,508,250,620.000036 | 97,201 |
pythondev | help | if it really is a generator object, you should be able to consume it to a list or a string or whatever (list is probably safest) and then print that | 2017-10-17T14:30:21.000456 | Frieda | pythondev_help_Frieda_2017-10-17T14:30:21.000456 | 1,508,250,621.000456 | 97,202 |
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