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Image\nTo launch the container, run the following command:\u003cbr/\u003e\nin Windows:\n```cmd\ndocker run -it --name lightning -p 8888:8888 -v C:\\Work:/home/notebooks kriss024/anaconda-python-and-pytorch-lightning\n```\nin Windows WSL or Linux:\n```bash\ndocker run -it --name lightning -p 8888:8888 -v \"$PWD\":/home/notebooks kriss024/anaconda-python-and-pytorch-lightning\n```\n\nNavigate to [http://127.0.0.1:8888/](http://127.0.0.1:8888/) in your web browser to run the jupyter notebook\n\n## Content\n- [x] Anaconda Python 3.8.8\n- [x] Jupyter Notebook\n- [x] Beautiful Soup\n- [x] Bokeh\n- [x] CatBoost\n- [x] Category Encoders\n- [x] Dask\n- [x] ELI5\n- [x] Flask\n- [x] GeoPy\n- [x] Hyperopt\n- [x] Hyperopt-sklearn\n- [x] imageio\n- [x] Joblib\n- [x] NumPy\n- [x] OpenCV\n- [x] Openpyxl\n- [x] Pandas\n- [x] Pingouin\n- [x] Pillow\n- [x] Plotly\n- [x] psycopg2\n- [x] PyTorch Lightning\n- [x] scikit-learn\n- [x] SciPy\n- [x] seaborn\n- [x] SHAP\n- [x] Statsmodels\n- [x] spaCy\n- [x] SQLAlchemy\n- [x] Theano\n- [x] XGBoost\n- [x] LightGBM","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkriss024%2Fanaconda-python-and-pytorch-lightning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkriss024%2Fanaconda-python-and-pytorch-lightning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkriss024%2Fanaconda-python-and-pytorch-lightning/lists"}