{"id":25110011,"url":"https://github.com/smac-group/course_intro_ds","last_synced_at":"2025-04-02T09:25:52.731Z","repository":{"id":43409002,"uuid":"229240475","full_name":"SMAC-Group/course_intro_ds","owner":"SMAC-Group","description":":bar_chart: Source repository for the course: \"Introduction to Data Science\" given at Unviersity of Geneva","archived":false,"fork":false,"pushed_at":"2023-03-30T10:05:24.000Z","size":103281,"stargazers_count":0,"open_issues_count":12,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-08T00:33:50.846Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://intro-to-ds.netlify.com","language":"CSS","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SMAC-Group.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}},"created_at":"2019-12-20T10:09:27.000Z","updated_at":"2023-04-26T19:46:29.000Z","dependencies_parsed_at":"2023-02-09T06:02:21.167Z","dependency_job_id":null,"html_url":"https://github.com/SMAC-Group/course_intro_ds","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/SMAC-Group%2Fcourse_intro_ds","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SMAC-Group%2Fcourse_intro_ds/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SMAC-Group%2Fcourse_intro_ds/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SMAC-Group%2Fcourse_intro_ds/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SMAC-Group","download_url":"https://codeload.github.com/SMAC-Group/course_intro_ds/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246786724,"owners_count":20833741,"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":[],"created_at":"2025-02-08T00:34:16.731Z","updated_at":"2025-04-02T09:25:52.692Z","avatar_url":"https://github.com/SMAC-Group.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/SMAC-Group/course_intro_ds/binder)\n\n[![Netlify Status](https://api.netlify.com/api/v1/badges/54375792-75b7-45b2-a46d-e489a6bf42e5/deploy-status)](https://app.netlify.com/sites/intro-to-ds/deploys)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"static/logo2.png\" align=\"center\" width=\"450px\"/\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\u003ch1\u003eIntroduction to Data Science with \u003ccode\u003eR\u003c/code\u003e \u003c/h1\u003e\n\u003c/p\u003e\n\nWelcome! This is the source repository for the exercice support website for the class **Introduction to Data Science** given on Spring semester 2020 at the University of Geneva. The website is hosted at: \u003chttps://github.com/SMAC-Group/course_intro_ds\u003e.\n\nThe [site](https://intro-to-ds.netlify.com/)  itself is built on an amazing framework created by \u003ca href='https://ines.io/'\u003eInes Montani\u003c/a\u003e, originally created for her [spaCy course](https://course.spacy.io).  The front-end is powered by\n[Gatsby](http://gatsbyjs.org/) and [Reveal.js](https://revealjs.com) and the\nback-end code execution uses [Binder](https://mybinder.org). \u003c/p\u003e\n\nIf you are interested in building a course on this framework, see Ines's starter repos for making courses in [Python](https://github.com/ines/course-starter-python) and [R](https://github.com/ines/course-starter-r), and her behind-the-scenes explanation of how the framework works at [the original course repo](https://github.com/ines/spacy-course#-faq).\n\nThe course material in this course is licensed [CC-BY](https://creativecommons.org/licenses/by/4.0/), meaning that you are free to use it, change it, and remix it as long as you attribute me as the original course.  The _code_ is [MIT](https://opensource.org/licenses/MIT)-licensed.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmac-group%2Fcourse_intro_ds","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmac-group%2Fcourse_intro_ds","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmac-group%2Fcourse_intro_ds/lists"}