{"payload":{"header_redesign_enabled":false,"results":[{"id":"130988081","archived":false,"color":"#DA5B0B","followers":22,"has_funding_file":false,"hl_name":"gcampanella/pydata-london-2018","hl_trunc_description":"Slides and notebooks for my tutorial at PyData London 2018","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":130988081,"name":"pydata-london-2018","owner_id":1000963,"owner_login":"gcampanella","updated_at":"2018-07-02T11:01:38.856Z","has_issues":true}},"sponsorable":false,"topics":["tutorial","deep-learning","optimization","pydata","linear-programming","survival-analysis","gradient-descent","quadratic-programming","convex-optimization","elastic-net","stochastic-gradient-descent","maximum-likelihood-estimation","quantile-regression","multilayer-perceptron"],"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":82,"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%253Agcampanella%252Fpydata-london-2018%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/gcampanella/pydata-london-2018/star":{"post":"ncCIoho8FwZVDxweqriKXDBg3uvTIbZ7cZq35MkYEHPTdxMd1uzYAVp-u-7yVrGYOwZB3Uprbsygjo13d-E_Hw"},"/gcampanella/pydata-london-2018/unstar":{"post":"-YXvzXFTvxa75cU5YjmjerfW09Y7kuPDXhORq1iLk3AcRhn_15tuioTnP32qu27bvaNf8aJZAJLjECFeApbdhw"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"VZZLN5K1yBISKv3c4WekZaNvtmqUPJUZg0dI0S9s8QQxi2NVTfctPlazJsA7QhDyZLuVp4rlATJOG_Q7s2adYg"}}},"title":"Repository search results"}