{"id":21634736,"url":"https://github.com/kriss024/anaconda-python-for-data-science","last_synced_at":"2026-04-11T07:02:50.242Z","repository":{"id":177426482,"uuid":"358347655","full_name":"kriss024/anaconda-python-for-data-science","owner":"kriss024","description":"Anaconda Python 3.8.8 with TensorFlow 2 Docker image","archived":false,"fork":false,"pushed_at":"2021-09-01T20:20:54.000Z","size":16,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-25T00:19:37.792Z","etag":null,"topics":["anaconda3","data-science","docker","jupyter-notebook","machine-learning","pandas","python","python3","scikit-learn","tensorflow2"],"latest_commit_sha":null,"homepage":"https://hub.docker.com/r/kriss024/anaconda-python-for-data-science","language":"Dockerfile","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/kriss024.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":"2021-04-15T17:56:02.000Z","updated_at":"2024-02-17T21:30:20.000Z","dependencies_parsed_at":null,"dependency_job_id":"e55edc72-8899-4509-aee6-90e2a7987601","html_url":"https://github.com/kriss024/anaconda-python-for-data-science","commit_stats":null,"previous_names":["kriss024/anaconda-python-for-data-science"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kriss024%2Fanaconda-python-for-data-science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kriss024%2Fanaconda-python-for-data-science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kriss024%2Fanaconda-python-for-data-science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kriss024%2Fanaconda-python-for-data-science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kriss024","download_url":"https://codeload.github.com/kriss024/anaconda-python-for-data-science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244320322,"owners_count":20434090,"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":["anaconda3","data-science","docker","jupyter-notebook","machine-learning","pandas","python","python3","scikit-learn","tensorflow2"],"created_at":"2024-11-25T03:17:56.066Z","updated_at":"2026-04-11T07:02:50.229Z","avatar_url":"https://github.com/kriss024.png","language":"Dockerfile","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Anaconda Python for Data Science\r\n### Python 3.8.8 with TensorFlow 2, XGBoost, LightGBM, OpenCV libraries\r\n\r\n## How to Use this Image\r\nTo launch the container, run the following command:\u003cbr/\u003e\r\nin Windows:\r\n```cmd\r\ndocker run -it --name python3 -p 8888:8888 -v C:\\Work:/home/notebooks kriss024/anaconda-python-for-data-science\r\n```\r\nin Windows WSL or Linux:\r\n```bash\r\ndocker run -it --name python3 -p 8888:8888 -v \"$PWD\":/home/notebooks kriss024/anaconda-python-for-data-science\r\n```\r\n\r\nNavigate to [http://127.0.0.1:8888/](http://127.0.0.1:8888/) in your web browser to run the jupyter notebook\r\n\r\n## Content\r\n- [x] Anaconda Python 3.8.8\r\n- [x] Jupyter Notebook\r\n- [x] Beautiful Soup\r\n- [x] Bokeh\r\n- [x] GeoPy\r\n- [x] Category Encoders\r\n- [x] Dask\r\n- [x] ELI5\r\n- [x] Flask\r\n- [x] Hyperopt\r\n- [x] Hyperopt-sklearn\r\n- [x] imageio\r\n- [x] Joblib\r\n- [x] Keras\r\n- [x] NumPy\r\n- [x] OpenCV\r\n- [x] Openpyxl\r\n- [x] Pandas\r\n- [x] Pingouin\r\n- [x] Pillow\r\n- [x] Plotly\r\n- [x] psycopg2\r\n- [x] scikit-learn\r\n- [x] SciPy\r\n- [x] seaborn\r\n- [x] SHAP\r\n- [x] Statsmodels\r\n- [x] spaCy\r\n- [x] SQLAlchemy\r\n- [x] Theano\r\n- [x] TensorFlow 2\r\n- [x] XGBoost\r\n- [x] LightGBM","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkriss024%2Fanaconda-python-for-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkriss024%2Fanaconda-python-for-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkriss024%2Fanaconda-python-for-data-science/lists"}