{"action":"closed","issue":{"url":"https://api.github.com/repos/PaulSoderlind/PaulSoderlindCode/issues/1","repository_url":"https://api.github.com/repos/PaulSoderlind/PaulSoderlindCode","labels_url":"https://api.github.com/repos/PaulSoderlind/PaulSoderlindCode/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/PaulSoderlind/PaulSoderlindCode/issues/1/comments","events_url":"https://api.github.com/repos/PaulSoderlind/PaulSoderlindCode/issues/1/events","html_url":"https://github.com/PaulSoderlind/PaulSoderlindCode/issues/1","id":138677721,"number":1,"title":"Extra results from Julia","user":{"login":"chenzjames","id":17472271,"avatar_url":"https://avatars.githubusercontent.com/u/17472271?v=3","gravatar_id":"","url":"https://api.github.com/users/chenzjames","html_url":"https://github.com/chenzjames","followers_url":"https://api.github.com/users/chenzjames/followers","following_url":"https://api.github.com/users/chenzjames/following{/other_user}","gists_url":"https://api.github.com/users/chenzjames/gists{/gist_id}","starred_url":"https://api.github.com/users/chenzjames/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chenzjames/subscriptions","organizations_url":"https://api.github.com/users/chenzjames/orgs","repos_url":"https://api.github.com/users/chenzjames/repos","events_url":"https://api.github.com/users/chenzjames/events{/privacy}","received_events_url":"https://api.github.com/users/chenzjames/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2016-03-05T13:07:59Z","updated_at":"2016-03-06T14:08:20Z","closed_at":"2016-03-06T14:08:20Z","body":"Hi Paul, \r\nI am new to GitHub, sorry that if I use this \"issue\" wrongly.\r\n\r\nI found that your tutorial is great and was wondering if there is an efficient way to extra results (especial computation results with variables' names and their value) to \"txt\" or \"csv\". In your tutorial for writing into txt, \"\\n\" does not work well. Besides, the DataFrame package is not easy to use. "}}