{"action":"opened","issue":{"url":"https://api.github.com/repos/minisciencegirl/studyGroup/issues/74","labels_url":"https://api.github.com/repos/minisciencegirl/studyGroup/issues/74/labels{/name}","comments_url":"https://api.github.com/repos/minisciencegirl/studyGroup/issues/74/comments","events_url":"https://api.github.com/repos/minisciencegirl/studyGroup/issues/74/events","html_url":"https://github.com/minisciencegirl/studyGroup/issues/74","id":120498948,"number":74,"title":"Python Pandas 2 and more!","user":{"login":"lmguzman","id":8062017,"avatar_url":"https://avatars.githubusercontent.com/u/8062017?v=3","gravatar_id":"","url":"https://api.github.com/users/lmguzman","html_url":"https://github.com/lmguzman","followers_url":"https://api.github.com/users/lmguzman/followers","following_url":"https://api.github.com/users/lmguzman/following{/other_user}","gists_url":"https://api.github.com/users/lmguzman/gists{/gist_id}","starred_url":"https://api.github.com/users/lmguzman/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lmguzman/subscriptions","organizations_url":"https://api.github.com/users/lmguzman/orgs","repos_url":"https://api.github.com/users/lmguzman/repos","events_url":"https://api.github.com/users/lmguzman/events{/privacy}","received_events_url":"https://api.github.com/users/lmguzman/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-12-04T22:24:55Z","updated_at":"2015-12-04T22:24:55Z","closed_at":null,"body":"When: December 9th, 3:30 PM\r\nWhere: UBC main campus, Biodiversity Building Room 224\r\nAudience: This lesson is aimed at people with a little bit of coding experience.\r\nLesson Notes: TBD\r\nEtherpad: TBD\r\n\r\nSetup Instructions\r\n\r\nPandas comes with the Anaconda installation. Before you come, try setting up Python on your laptop using the instructions https://www.continuum.io/downloads; choose Python 3.4 (but if you already have python 2 installed, that's fine too). Anaconda is a collection of python tools and packages most popular in scientific computing; choose the free option for your operating system from the link above. If you get stuck on any of these steps, don't worry - show up 15 minutes early and we'll help get you set up."}}