{"id":20304006,"url":"https://github.com/rubiagatra/data-science-with-python","last_synced_at":"2025-08-22T00:32:09.850Z","repository":{"id":93080531,"uuid":"98546149","full_name":"rubiagatra/data-science-with-python","owner":"rubiagatra","description":"Belajar Data Science Secara Praktis Menggunakan Python","archived":false,"fork":false,"pushed_at":"2020-08-25T05:21:17.000Z","size":8892,"stargazers_count":116,"open_issues_count":0,"forks_count":101,"subscribers_count":9,"default_branch":"master","last_synced_at":"2024-12-15T00:10:48.251Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/rubiagatra.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-07-27T14:32:50.000Z","updated_at":"2024-12-10T09:14:48.000Z","dependencies_parsed_at":"2023-06-04T17:00:46.629Z","dependency_job_id":null,"html_url":"https://github.com/rubiagatra/data-science-with-python","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/rubiagatra%2Fdata-science-with-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubiagatra%2Fdata-science-with-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubiagatra%2Fdata-science-with-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubiagatra%2Fdata-science-with-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rubiagatra","download_url":"https://codeload.github.com/rubiagatra/data-science-with-python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230542288,"owners_count":18242332,"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":"2024-11-14T16:42:18.417Z","updated_at":"2024-12-20T06:07:06.154Z","avatar_url":"https://github.com/rubiagatra.png","language":"Jupyter Notebook","readme":"# Data Science With Python\n\u003e Belajar Data Science secara praktis menggunakan Python\n\n## Pemasangan (Installation) dan Penggunaan Pertama \n\nSilahkan download [Anaconda](https://anaconda.com/download). Install sesuai dengan sistem operasi masing - masing. Setelah itu clone / download repositori ini ke folder kalian inginkan.\n\n## Menggunakan Anaconda Navigator\n\n- MacOS dan Linux:\n   - Buka terminal, kemudian ketik\n\n```sh\n$ anaconda-navigator\n```\n\n- Windows:\n    - Buka launcher windows, kemudian pilih program Anaconda Navigator\n\nTampilan Anaconda Navigator akan seperti ini.\n\n![Anaconda Navigator](images/anaconda-navigator.png)\n\nSilahkan launch jupyter lab / jupyter notebook kemudian navigasi ke folder yang telah kalian simpan.\n\n## Menggunakan Terminal atau Anaconda Prompt\n\n- MacOS dan Linux:\n   - Buka terminal, kemudian ketik\n\n```sh\n$ jupyter-lab\n```\n\natau\n\n```sh\n$ jupyter notebook\n```\n\n- Windows:\n   - Buka Anaconda Prompt, kemudian ketik\n\n```sh\nC:\\\u003e jupyter-lab    \n```\n\natau\n\n```sh\nC:\\\u003e jupyter notebook   \n```\n\nKemudian navigasi ke folder yang telah kalian simpan.\n\n## Tampilan Jupyter-lab\n\n![jupyter-notebook](images/jupyter-lab.png)\n\n## Tampilan Jupyter Notebook\n![jupyter-notebook](images/jupyter-notebook.png)\n\n## NLP Dataset \n- NLP dataset dapat diunduh [disini](https://drive.google.com/file/d/1IX9cWMwzc4v8lLivk19k2LV2JrCj0KD1/view?usp=sharing\")\n## Inspirasi\n\nMateri repositori ini terinspirasi setelah saya menyelesaikan [Data Camp](https://datacamp.com)       Data Science Python Career Track. Semua data yang dipergunakan di repositori ini terdapat pada DataCamp. Silahkan kunjungi DataCamp karena merupakan tempat yang keren untuk memulai belajar Data Science.\n\n## Lisensi\n\nDidistribusikan menggunakan lisensi MIT. Silahkan melihat `` LICENSE `` untuk lebih lanjut\n\n## Kontribusi\n1. Silahkan di Fork  \n2. Buat branch baru (`git checkout -b feature/fooBar`)\n3. Silahkan isi nama anda beserta tautan github anda di CONTRIBUTORS.md\n4. Commit perubahan yang ada(`git commit -am 'Add some fooBar'`)\n5. Push pada branch yang sudah ada (`git push origin feature/fooBar`)\n6. 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