{"payload":{"header_redesign_enabled":false,"results":[{"id":"246501580","archived":false,"color":"#DA5B0B","followers":23,"has_funding_file":false,"hl_name":"flrs/predicting_the_wind","hl_trunc_description":"Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":246501580,"name":"predicting_the_wind","owner_id":9593883,"owner_login":"flrs","updated_at":"2021-09-14T16:16:58.248Z","has_issues":true}},"sponsorable":false,"topics":["data-science","tutorial","binder","presentation","jupyter-notebook","gis","wind","wind-energy","renewables","binder-ready","wind-energy-analytics","wind-resource-assessment","wind-estimate"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":74,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Aflrs%252Fpredicting_the_wind%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/flrs/predicting_the_wind/star":{"post":"5aorTiDSybMb3h6eW4CSxzfEMZd4p-c5Eimy7QFjQ-htR9a25hl_qOs7OSG1RzoV9eSelC0vmH_UBMQHBkFECg"},"/flrs/predicting_the_wind/unstar":{"post":"vrrVLa4R7GnFX4E5wHjw4vVjeyq9j4J89CSPxDc0rZIwwymnt-zxwpc6VYBqdQdZgKdKmErY255MXpWHfiAQzg"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"Bhryhed5dsUUW74P84iQziLZn9kCAbW9zrJ_A2-854rXTLOyNJ-ItAnQCsE37NVgf6kW_dWg_REDHcVe0MzoeQ"}}},"title":"Repository search results"}