{"id":23213494,"url":"https://github.com/nagipragalathan/python_tutorial_for_data-science","last_synced_at":"2025-12-30T22:07:00.910Z","repository":{"id":175867840,"uuid":"654601134","full_name":"NagiPragalathan/Python_Tutorial_For_Data-Science","owner":"NagiPragalathan","description":"This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.","archived":false,"fork":false,"pushed_at":"2023-06-21T08:48:30.000Z","size":1293,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-21T10:51:57.553Z","etag":null,"topics":["datascience","datavisualization","deeplearning","jupyter","jupyter-notebook","learning-by-doing","learningresources","machinelearning","matplotlib","numpy","opensource","pandas","python","python-script","python3","pytorch","pytorch-implementation","scikitlearn","tutorial"],"latest_commit_sha":null,"homepage":"https://github.com/NagiPragalathan/Python_Tutorial_For_Data-Science/blob/main/README.md","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NagiPragalathan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2023-06-16T13:42:44.000Z","updated_at":"2023-07-08T21:17:54.000Z","dependencies_parsed_at":null,"dependency_job_id":"d289b624-32a7-48df-acc9-4cfe48471c64","html_url":"https://github.com/NagiPragalathan/Python_Tutorial_For_Data-Science","commit_stats":null,"previous_names":["nagipragalathan/python_tutorial_for_data-science"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NagiPragalathan/Python_Tutorial_For_Data-Science","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NagiPragalathan%2FPython_Tutorial_For_Data-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NagiPragalathan%2FPython_Tutorial_For_Data-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NagiPragalathan%2FPython_Tutorial_For_Data-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NagiPragalathan%2FPython_Tutorial_For_Data-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NagiPragalathan","download_url":"https://codeload.github.com/NagiPragalathan/Python_Tutorial_For_Data-Science/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NagiPragalathan%2FPython_Tutorial_For_Data-Science/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28133022,"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":"2025-12-30T02:00:05.476Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":["datascience","datavisualization","deeplearning","jupyter","jupyter-notebook","learning-by-doing","learningresources","machinelearning","matplotlib","numpy","opensource","pandas","python","python-script","python3","pytorch","pytorch-implementation","scikitlearn","tutorial"],"created_at":"2024-12-18T19:18:02.467Z","updated_at":"2025-12-30T22:07:00.876Z","avatar_url":"https://github.com/NagiPragalathan.png","language":"Jupyter Notebook","readme":null,"funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnagipragalathan%2Fpython_tutorial_for_data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnagipragalathan%2Fpython_tutorial_for_data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnagipragalathan%2Fpython_tutorial_for_data-science/lists"}