{"payload":{"header_redesign_enabled":false,"results":[{"id":"111114821","archived":false,"color":"#DA5B0B","followers":677,"has_funding_file":false,"hl_name":"dingran/quant-notes","hl_trunc_description":"Quantitative Interview Preparation Guide, updated version here ==>","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":111114821,"name":"quant-notes","owner_id":12864782,"owner_login":"dingran","updated_at":"2019-03-23T18:08:26.679Z","has_issues":true}},"sponsorable":false,"topics":["python","finance","data-science","machine-learning","statistics","deep-learning","calculus","optimization","linear-algebra","probability","quant","interview-questions","quantitative-finance","numerical-methods","coding-interviews","quantitative-trading","interview-preparation"],"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":87,"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%253Adingran%252Fquant-notes%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/dingran/quant-notes/star":{"post":"SFjMcYy7pPfG-OTlpjiG7W29yOGOH5vqGgO9NpYHhikFTH9OJbgGsAGGhYBPIaBicdQ9zGtoxviutq1hF_WFOQ"},"/dingran/quant-notes/unstar":{"post":"xGeOLoxC1oEqwihu8EewYO5IeT0HUd3nWk_7GY7UOE8YreYjf7u7bC5uLE4Aq2rpZi4NrfUlf8lEQ4012cmy5w"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"pKDe_gGFmfB_xZv_FiJRlhzj0Qt_YQRlt4UdAfX-tpZ5utK1r7soadi84bKbFeHLFAHGN4WFSvW23umUvxVP2g"}}},"title":"Repository search results"}