{"id":17238326,"url":"https://github.com/danielgoldfarb/pffap","last_synced_at":"2025-04-14T02:30:00.158Z","repository":{"id":163521275,"uuid":"220358204","full_name":"DanielGoldfarb/pffap","owner":"DanielGoldfarb","description":"Pandas for Fun and Profit","archived":false,"fork":false,"pushed_at":"2019-12-25T17:25:42.000Z","size":670,"stargazers_count":8,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-14T02:29:48.191Z","etag":null,"topics":["finance","pandas","pandas-tutorial"],"latest_commit_sha":null,"homepage":"https://www.youtube.com/channel/UCFMev5MLoBPogU7KKAol6rw/featured","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DanielGoldfarb.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-11-08T01:03:33.000Z","updated_at":"2025-04-10T08:57:08.000Z","dependencies_parsed_at":"2023-10-20T19:46:13.601Z","dependency_job_id":null,"html_url":"https://github.com/DanielGoldfarb/pffap","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DanielGoldfarb%2Fpffap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DanielGoldfarb%2Fpffap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DanielGoldfarb%2Fpffap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DanielGoldfarb%2Fpffap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DanielGoldfarb","download_url":"https://codeload.github.com/DanielGoldfarb/pffap/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248810856,"owners_count":21165189,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["finance","pandas","pandas-tutorial"],"created_at":"2024-10-15T05:45:13.680Z","updated_at":"2025-04-14T02:30:00.108Z","avatar_url":"https://github.com/DanielGoldfarb.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv style=\"border:2px;border-style:solid;border-color:black;background-color:powderblue;font-style:italic;line-height:150%;\"\u003e\n    \u003ch1 style=\"text-indent:5%;\"\u003e\u003ca href=\"https://www.youtube.com/watch?v=4AXAKUlF_3c\u0026t\" target=\"_blank\"\u003ePandas for Fun and Profit\u003c/a\u003e\u0026nbsp;\u0026nbsp; \u0026larr; Click here for video.\u003c/h1\u003e\n    \u003ch2 style=\"line-height:150%;\"\u003e\n       \u003cul\u003e\n          \u003cli\u003e\u003ca href=\"https://github.com/DanielGoldfarb/pffap/blob/master/pandas_for_fun_and_profit.ipynb\"\u003eThis jupyter notebook\u003c/a\u003e is intended to accompany the talk\u003cbr\u003ethat I gave at 2019 PyCon Israel and at 2019 PyLondinium.\u003c/li\u003e\n       \u003c/ul\u003e\n    \u003c/h2\u003e\n\u003c/div\u003e\n\n\u003cdiv style=\"border:2px;border-style:solid;border-color:black;background-color:lightgreen;font-style:italic;line-height:150%;\"\u003e\n    \u003ch4\u003e\u0026nbsp;\u003c/h4\u003e\n    \u003ch3 style=\"line-height:150%;\"\u003e\n       \u003cul\u003e\n          \u003cli\u003eIn \u003ca href=\"https://www.youtube.com/watch?v=4AXAKUlF_3c\u0026t\"\u003ePandas for Fun and Profit\u003c/a\u003e, I tell the story of how, in a very short amount of time, you can learn enough Pandas to be able test some hypotheses about Financial markets.\u003c/li\u003e\n       \u003c/ul\u003e\n    \u003c/h3\u003e\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanielgoldfarb%2Fpffap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanielgoldfarb%2Fpffap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanielgoldfarb%2Fpffap/lists"}