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Voltron stack: polars, pandas 2.0, altair 5.0
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| name: python-data-science | |
| channels: | |
| - conda-forge | |
| dependencies: | |
| - python=3.10 | |
| - adlfs | |
| - altair==5.0.1 | |
| - black | |
| - ipykernel | |
| - matplotlib | |
| - pandas=2.0.2 | |
| - polars | |
| - pyarrow | |
| - python-duckdb | |
| - mlflow | |
| - numpy | |
| - pip | |
| - psutil | |
| - scipy | |
| - scikit-learn | |
| - shap | |
| - tqdm | |
| - universal_pathlib | |
| - vegafusion | |
| - vegafusion-python-embed | |
| - vl-convert-python | |
| - xgboost | |
| - xlrd | |
| - pip: | |
| - azureml-fsspec | |
| - azureml-mlflow | |
| - 'vega @ git+https://github.com/vega/ipyvega/@master' | |
| - 'inference-schema[numpy-support]' |
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| altair==5.0.1 | |
| black==23.3.0 | |
| jupyterlab-code-formatter | |
| fuzzywuzzy | |
| isort | |
| jupyterlab>=4.0.2 | |
| matplotlib==3.7.1 | |
| notebook==6.5.4 | |
| numpy==1.24.1 | |
| pandas==2.0.2 | |
| pandas_profiling | |
| requests | |
| pyarrow==12.0.1 | |
| scikit-learn==1.2.2 | |
| shap=0.42 | |
| statsmodels==0.14.0 | |
| xgboost==1.7.4 | |
| vega @ git+https://github.com/vega/ipyvega/@master | |
| vegafusion | |
| vegafusion-python-embed | |
| vl-convert-python |
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