convore.json/groups/python/tablibs-back/messages.json

[{"user_id": 8391, "stars": [{"date_created": 1305497847.9141381, "user_id": 2571}], "topic_id": 34688, "date_created": 1305081793.1584401, "message": "After a two month IP \"review\", Tablib is back :)", "group_id": 292, "id": 1000263}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305081810.982959, "message": "https://github.com/kennethreitz/tablib", "group_id": 292, "id": 1000265}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305081817.5460041, "message": "\tGitHub Repo: https://github.com/kennethreitz/tablib\n\tGit Mirror: http://git.kennethreitz.com/projects/tablib\n\tCheeseshop: http://pypi.python.org/pypi/tablib/0.9.5\n\tCheeseshop Mirror (in case pypi is down): `pip install -i http://pip.kreitz.co/simple tablib`\n\tConvore Room: https://convore.com/tablib/\n\tContinuous Integration: http://ci.kennethreitz.com/job/tablib-tests/", "group_id": 292, "id": 1000266}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305082150.8823521, "message": "Oh, and docs of course: http://tablib.org", "group_id": 292, "id": 1000313}, {"user_id": 651, "stars": [], "topic_id": 34688, "date_created": 1305105872.5491331, "message": "didn't know it works over IP, too :)", "group_id": 292, "id": 1004459}, {"user_id": 30618, "stars": [], "topic_id": 34688, "date_created": 1305123124.3851919, "message": "Looks cool and on first glance the documentation is solid.  But was wondering if you could provide some use cases?", "group_id": 292, "id": 1007680}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305136448.4273131, "message": "@mgan any use of tabular data", "group_id": 292, "id": 1011198}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305136452.158335, "message": "i use it for reports", "group_id": 292, "id": 1011201}, {"user_id": 8649, "stars": [], "topic_id": 34688, "date_created": 1305145100.7504301, "message": "Is there any interoperability with Numpy's record arrays?", "group_id": 292, "id": 1013590}, {"user_id": 8649, "stars": [{"date_created": 1305147087.5580721, "user_id": 8391}], "topic_id": 34688, "date_created": 1305145013.5889809, "message": "Looks great, Kenneth!  One note: you misspelled \"Separators\" in the docs: http://docs.tablib.org/en/latest/tutorial.html#seperators", "group_id": 292, "id": 1013563}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305147112.55744, "message": "@pwang there isn't, but I'd love to hear how you think that should work", "group_id": 292, "id": 1014210}, {"user_id": 31805, "stars": [], "topic_id": 34688, "date_created": 1305179471.3930371, "message": "A question: when is the dynamic column evaluated?", "group_id": 292, "id": 1020700}, {"user_id": 31883, "stars": [{"date_created": 1305265556.1767581, "user_id": 8391}], "topic_id": 34688, "date_created": 1305188361.4359601, "message": "\"data\" should be \"students\" in the example at http://docs.tablib.org/en/latest/tutorial.html#filtering-datasets-with-tags", "group_id": 292, "id": 1022067}, {"user_id": 32484, "stars": [], "topic_id": 34688, "date_created": 1305193106.41676, "message": "Hey peeps", "group_id": 292, "id": 1022857}, {"user_id": 8649, "stars": [], "topic_id": 34688, "date_created": 1305239817.923897, "message": "@kennethreitz Well, mostly just a set of .from_numpy() and .to_numpy() methods, really.  You'd have to do some inference about the types of columns (or offer auto-inference as an optional argument to the to_numpy() method) so you could construct the proper Numpy dtype.  But it doesn't *seem* to be that difficult, at first glance.", "group_id": 292, "id": 1031000}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305265571.3753021, "message": "@marcosan: when it is added", "group_id": 292, "id": 1036190}, {"user_id": 8391, "stars": [], "topic_id": 34688, "date_created": 1305266278.37445, "message": "@pwang I've created a new issue for this. It's something that I've been pondering for a while, but haven't spent the time to figure out the best approach. Would you mind adding your notes to the issue?", "group_id": 292, "id": 1036362}]