{"id":21898568,"url":"https://github.com/zzarif/python-for-data-science","last_synced_at":"2026-04-13T18:02:07.592Z","repository":{"id":248218292,"uuid":"828103060","full_name":"zzarif/Python-for-Data-Science","owner":"zzarif","description":"A complete beginner's guide to Python for Data Science.","archived":false,"fork":false,"pushed_at":"2024-10-02T19:20:24.000Z","size":30160,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-10T08:20:43.288Z","etag":null,"topics":["basics","hackerrank","leetcode","machine-learning","python","pytorch"],"latest_commit_sha":null,"homepage":"","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/zzarif.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}},"created_at":"2024-07-13T06:08:28.000Z","updated_at":"2024-10-02T19:20:27.000Z","dependencies_parsed_at":"2024-07-13T07:29:03.050Z","dependency_job_id":"6bcc4809-bc34-456b-a7cf-9d0f34eef013","html_url":"https://github.com/zzarif/Python-for-Data-Science","commit_stats":null,"previous_names":["zzarif/python-database"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zzarif/Python-for-Data-Science","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zzarif%2FPython-for-Data-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zzarif%2FPython-for-Data-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zzarif%2FPython-for-Data-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zzarif%2FPython-for-Data-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zzarif","download_url":"https://codeload.github.com/zzarif/Python-for-Data-Science/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zzarif%2FPython-for-Data-Science/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31764317,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T15:25:13.801Z","status":"ssl_error","status_checked_at":"2026-04-13T15:25:09.162Z","response_time":93,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["basics","hackerrank","leetcode","machine-learning","python","pytorch"],"created_at":"2024-11-28T14:33:13.951Z","updated_at":"2026-04-13T18:02:07.573Z","avatar_url":"https://github.com/zzarif.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python for Data Science\nA complete beginner's guide to Python for Data Science.\n\n## Basics\nStart with the [basics](basics) of Python. Please refer to \"A Crash Course in Python\" chapter from **Data Science from Scratch** book by **Joel Grus**.\n\n## Practice\nAfter you're done reviewing the basics:\n- Start practicing from **Hackerrank**. Most of the solutions to [this](https://www.hackerrank.com/domains/python) domain can be found [hackerrank](hackerrank) directory of this repo.\n- Also try to solve **Leetcode** top interview questions using Python. Please refer to [leetcode](leetcode) directory of this repo.\n\n## PyTorch\nFinally, dive into the world of Machine Learning using PyTorch. The [pytorch](pytorch) directory is basically the notebook version of **Patrick Loeber**'s [PyTorch Tutorial](https://github.com/patrickloeber/pytorchTutorial) series (most of it).\n\n### Contact\nThanks and please feel free to provide your feedback to me at [zibran.zarif.amio@gmail.com](mailto:zibran.zarif.amio@gmail.com)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzzarif%2Fpython-for-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzzarif%2Fpython-for-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzzarif%2Fpython-for-data-science/lists"}