{"action":"opened","issue":{"url":"https://api.github.com/repos/pydata/xarray/issues/756","repository_url":"https://api.github.com/repos/pydata/xarray","labels_url":"https://api.github.com/repos/pydata/xarray/issues/756/labels{/name}","comments_url":"https://api.github.com/repos/pydata/xarray/issues/756/comments","events_url":"https://api.github.com/repos/pydata/xarray/issues/756/events","html_url":"https://github.com/pydata/xarray/issues/756","id":132648277,"number":756,"title":"doc: link dead","user":{"login":"dacoex","id":8660305,"avatar_url":"https://avatars.githubusercontent.com/u/8660305?v=3","gravatar_id":"","url":"https://api.github.com/users/dacoex","html_url":"https://github.com/dacoex","followers_url":"https://api.github.com/users/dacoex/followers","following_url":"https://api.github.com/users/dacoex/following{/other_user}","gists_url":"https://api.github.com/users/dacoex/gists{/gist_id}","starred_url":"https://api.github.com/users/dacoex/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dacoex/subscriptions","organizations_url":"https://api.github.com/users/dacoex/orgs","repos_url":"https://api.github.com/users/dacoex/repos","events_url":"https://api.github.com/users/dacoex/events{/privacy}","received_events_url":"https://api.github.com/users/dacoex/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-02-10T09:35:01Z","updated_at":"2016-02-10T09:35:01Z","closed_at":null,"body":"Link in this section \r\n\r\n> \r\npandas, thanks to its unrivaled speed and flexibility, has emerged as the premier python package for working with labeled arrays. So why are we contributing to further fragmentation in the ecosystem for working with data arrays in Python?\r\n\r\n[fragmentation](http://wesmckinney.com/blog/?p=77)\r\n\r\nis dead.\r\n\r\nhttp://wesmckinney.com/archives.htm"}}