{"action":"closed","issue":{"url":"https://api.github.com/repos/zooniverse/panoptes-cli/issues/4","repository_url":"https://api.github.com/repos/zooniverse/panoptes-cli","labels_url":"https://api.github.com/repos/zooniverse/panoptes-cli/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/zooniverse/panoptes-cli/issues/4/comments","events_url":"https://api.github.com/repos/zooniverse/panoptes-cli/issues/4/events","html_url":"https://github.com/zooniverse/panoptes-cli/issues/4","id":127215824,"number":4,"title":"Speeding up multiple requests","user":{"login":"rogerhutchings","id":2725841,"avatar_url":"https://avatars.githubusercontent.com/u/2725841?v=3","gravatar_id":"","url":"https://api.github.com/users/rogerhutchings","html_url":"https://github.com/rogerhutchings","followers_url":"https://api.github.com/users/rogerhutchings/followers","following_url":"https://api.github.com/users/rogerhutchings/following{/other_user}","gists_url":"https://api.github.com/users/rogerhutchings/gists{/gist_id}","starred_url":"https://api.github.com/users/rogerhutchings/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rogerhutchings/subscriptions","organizations_url":"https://api.github.com/users/rogerhutchings/orgs","repos_url":"https://api.github.com/users/rogerhutchings/repos","events_url":"https://api.github.com/users/rogerhutchings/events{/privacy}","received_events_url":"https://api.github.com/users/rogerhutchings/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":9,"created_at":"2016-01-18T12:20:24Z","updated_at":"2016-07-04T09:48:03Z","closed_at":"2016-07-04T09:48:03Z","body":"@astopy I'm very much a python noob, but so not sure exactly how to do this, but I think the multiple requests for getting e.g. subject set data are running in series. Can we get them to run in parallel? I thought [`map()` from multiprocessing](https://docs.python.org/2/library/multiprocessing.html#multiprocessing.pool.multiprocessing.Pool.map) would do it, but I can't get it working..."}}
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