{"action":"created","issue":{"url":"https://api.github.com/repos/UofTCoders/Events/issues/24","labels_url":"https://api.github.com/repos/UofTCoders/Events/issues/24/labels{/name}","comments_url":"https://api.github.com/repos/UofTCoders/Events/issues/24/comments","events_url":"https://api.github.com/repos/UofTCoders/Events/issues/24/events","html_url":"https://github.com/UofTCoders/Events/issues/24","id":118663513,"number":24,"title":"Unix Pipelines and Make","user":{"login":"mbonsma","id":5651370,"avatar_url":"https://avatars.githubusercontent.com/u/5651370?v=3","gravatar_id":"","url":"https://api.github.com/users/mbonsma","html_url":"https://github.com/mbonsma","followers_url":"https://api.github.com/users/mbonsma/followers","following_url":"https://api.github.com/users/mbonsma/following{/other_user}","gists_url":"https://api.github.com/users/mbonsma/gists{/gist_id}","starred_url":"https://api.github.com/users/mbonsma/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mbonsma/subscriptions","organizations_url":"https://api.github.com/users/mbonsma/orgs","repos_url":"https://api.github.com/users/mbonsma/repos","events_url":"https://api.github.com/users/mbonsma/events{/privacy}","received_events_url":"https://api.github.com/users/mbonsma/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/UofTCoders/Events/labels/beginner","name":"beginner","color":"fef2c0"},{"url":"https://api.github.com/repos/UofTCoders/Events/labels/code%20along","name":"code along","color":"0052cc"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-11-24T17:31:04Z","updated_at":"2015-11-24T19:17:29Z","closed_at":null,"body":"James (@jamesaoverton) will lead a code-along based on the book [Data Science at the Command Line](http://datascienceatthecommandline.com) - learn about basic Unix pipelines to streamline your data analysis! This is a beginner-level code-along, so no prior command line experience is necessary.\r\n\r\n**When:** December 10, 2015, 6:00 pm - 7:00 pm\r\n**Where:** McLennan Physics building Rm. 408\r\n**Preparation:** Bring a computer, preferably charged."},"comment":{"url":"https://api.github.com/repos/UofTCoders/Events/issues/comments/159377724","html_url":"https://github.com/UofTCoders/Events/issues/24#issuecomment-159377724","issue_url":"https://api.github.com/repos/UofTCoders/Events/issues/24","id":159377724,"user":{"login":"jamesaoverton","id":292409,"avatar_url":"https://avatars.githubusercontent.com/u/292409?v=3","gravatar_id":"","url":"https://api.github.com/users/jamesaoverton","html_url":"https://github.com/jamesaoverton","followers_url":"https://api.github.com/users/jamesaoverton/followers","following_url":"https://api.github.com/users/jamesaoverton/following{/other_user}","gists_url":"https://api.github.com/users/jamesaoverton/gists{/gist_id}","starred_url":"https://api.github.com/users/jamesaoverton/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jamesaoverton/subscriptions","organizations_url":"https://api.github.com/users/jamesaoverton/orgs","repos_url":"https://api.github.com/users/jamesaoverton/repos","events_url":"https://api.github.com/users/jamesaoverton/events{/privacy}","received_events_url":"https://api.github.com/users/jamesaoverton/received_events","type":"User","site_admin":false},"created_at":"2015-11-24T19:17:29Z","updated_at":"2015-11-24T19:17:29Z","body":"The author of that book has created the [Data Science Toolbox](http://datasciencetoolbox.org), a virtual machine that you can install on Windows, Mac, or Linux. It's easier than it sounds! :^)\r\n\r\nTo get the most out of this session, follow steps 1 to 4 at the link below to install the Data Science Toolkit on your laptop. This involves some large downloads, so it would be better to install it **before** the session.\r\n\r\n**Preparation:** http://datascienceatthecommandline.com/#dst\r\n"}}