{"id":15445223,"url":"https://github.com/jhermann/til-about-data-science","last_synced_at":"2025-04-19T20:41:48.261Z","repository":{"id":44406095,"uuid":"138471606","full_name":"jhermann/til-about-data-science","owner":"jhermann","description":" :mortar_board:  :panda_face: Records of what I learned while exploring the waters of Data Science (using Python)","archived":false,"fork":false,"pushed_at":"2019-02-11T15:26:20.000Z","size":5,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-29T13:11:17.679Z","etag":null,"topics":["artificial-intelligence","data-science","know-how","machine-learning","matplotlib","pandas","python","seaborn","today-i-learned","visualization"],"latest_commit_sha":null,"homepage":"","language":null,"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/jhermann.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":"2018-06-24T10:06:57.000Z","updated_at":"2022-01-02T00:36:34.000Z","dependencies_parsed_at":"2022-07-15T09:17:05.087Z","dependency_job_id":null,"html_url":"https://github.com/jhermann/til-about-data-science","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/jhermann%2Ftil-about-data-science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhermann%2Ftil-about-data-science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhermann%2Ftil-about-data-science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhermann%2Ftil-about-data-science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jhermann","download_url":"https://codeload.github.com/jhermann/til-about-data-science/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249795202,"owners_count":21326777,"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":["artificial-intelligence","data-science","know-how","machine-learning","matplotlib","pandas","python","seaborn","today-i-learned","visualization"],"created_at":"2024-10-01T19:44:21.931Z","updated_at":"2025-04-19T20:41:48.221Z","avatar_url":"https://github.com/jhermann.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Today I Learned about Data Science…\n\n\u003e Records of what I learned while exploring the waters of *data science* (using *Python*).\n\n**Contents**\n\n * [What is this about?](#what-is-this-about)\n * [How can I use it?](#how-can-i-use-it)\n * [Legal Stuff](#legal-stuff)\n\n\n## What is this about?\n\nThis repository is first and foremost a reference for myself on what I learned\nforaying into anything data science. Still, and that is part of making it public,\nI hope that others can benefit from those insights and examples.\n\nNote that I'm somewhat versed in programming and computer stuff, so coming into\ndata science I'm sort of an experienced novice. :wink:\n\nMy challenges might not be yours, and likely I'm puzzled by different things than you.\nHowever, if you find yourself in a place where as an IT professional you want to learn about data science,\nthen chances are very high you can profit from this.\n\nSee also [jupyter-by-example](https://github.com/jhermann/jupyter-by-example).\n\n\n## How can I use it?\n\nExplanations and other prose that is not part of a\n[Jupyter Notebook](https://github.com/jhermann/til-about-data-science/tree/master/jupyter#jupyter-notebooks)\ncan be found in the\n[wiki](https://github.com/jhermann/til-about-data-science/wiki).\nSpecifically, *links to outside sources* like blog posts, online courses, videos etc. are placed there.\n\nThe wiki also provides a guided tour on data science topics in general,\nas well as notebooks, code and such contained in the repository itself.\n\n\n## Legal Stuff\n\nCode in this repository is [MIT licensed](https://github.com/jhermann/til-about-data-science/blob/master/LICENSE),\nwhile the wiki is [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).\n\nWhile on the topic of legislation:\n[Fight for your rights as a digital native, against the 20th century trolls](https://www.linuxjournal.com/content/how-eus-copyright-reform-threatens-open-source-and-how-fight-it)!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjhermann%2Ftil-about-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjhermann%2Ftil-about-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjhermann%2Ftil-about-data-science/lists"}