{"id":20494711,"url":"https://github.com/fhdsl/intro_to_python","last_synced_at":"2025-07-21T15:04:04.469Z","repository":{"id":251981020,"uuid":"839041083","full_name":"fhdsl/Intro_to_Python","owner":"fhdsl","description":"The course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.","archived":false,"fork":false,"pushed_at":"2025-06-02T18:33:24.000Z","size":34248,"stargazers_count":0,"open_issues_count":2,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-06-03T09:53:58.533Z","etag":null,"topics":["hutch-course"],"latest_commit_sha":null,"homepage":"https://hutchdatascience.org/Intro_to_Python/","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fhdsl.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-06T20:59:32.000Z","updated_at":"2025-06-02T18:33:30.000Z","dependencies_parsed_at":"2025-01-10T20:29:28.674Z","dependency_job_id":null,"html_url":"https://github.com/fhdsl/Intro_to_Python","commit_stats":null,"previous_names":["fhdsl/intro_to_python"],"tags_count":0,"template":false,"template_full_name":"jhudsl/OTTR_Template","purl":"pkg:github/fhdsl/Intro_to_Python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fhdsl%2FIntro_to_Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fhdsl%2FIntro_to_Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fhdsl%2FIntro_to_Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fhdsl%2FIntro_to_Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fhdsl","download_url":"https://codeload.github.com/fhdsl/Intro_to_Python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fhdsl%2FIntro_to_Python/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266324439,"owners_count":23911226,"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","status":"online","status_checked_at":"2025-07-21T11:47:31.412Z","response_time":64,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["hutch-course"],"created_at":"2024-11-15T17:42:49.117Z","updated_at":"2025-07-21T15:04:04.392Z","avatar_url":"https://github.com/fhdsl.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Intro to Python\n\nThis course was created from [this GitHub template](https://github.com/jhudsl/OTTR_Template).\n\nYou can see the rendered course material here: https://hutchdatascience.org/Intro_to_Python/\n\nIf you would like to contribute to this course material, take a look at the [OTTR documentation](https://www.ottrproject.org/).\n\n## About this course\n\nThe course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.\n\n## Audience\n\nThe course is intended for researchers who want to learn coding for the first time with a data science application via the Python language. This course is also appropriate for folks who have explored data science or programming on their own and want to focus on some fundamentals.\n\n## Learning Objectives\n\n**Analyze** Tidy datasets in the Python programming language via data subsetting, joining, and transformations.\n\n**Evaluate** summary statistics and data visualization to understand scientific questions.\n\n**Describe** how the Python programming environment interpret complex expressions made out of functions, operations, and data structures, in a step-by-step way.\n\n**Apply** problem solving strategies to debug broken code.\n\n## Encountering problems?\n\nIf you are encountering any problems with this course, please file a GitHub issue or contact us at {Some email or web address with a contact form}.\n\n\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"\u003e\u003cimg alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" /\u003e\u003c/a\u003e\u003cbr /\u003eAll materials in this course are licensed under a \u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"\u003eCreative Commons Attribution 4.0 International License\u003c/a\u003e unless noted otherwise.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffhdsl%2Fintro_to_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffhdsl%2Fintro_to_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffhdsl%2Fintro_to_python/lists"}