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djk2120 committed Sep 27, 2021
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6 changes: 6 additions & 0 deletions README.md
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# ppe_tools
tools for creating and analyzing parameter perturbation experiments

### To use our python environment:

conda env create -f environment.yml

Then you should hopefully have ppe-py available as an environment in JupyterHub
32 changes: 32 additions & 0 deletions environment.yml
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name: ppe-py
channels:
- conda-forge
- defaults
dependencies:
- python=3.7 # Python version 3.7
- bottleneck # C-optimized array functions for NumPy
- cartopy # Geographic plotting toolkit
- cftime
- dask # Parallel processing library
- geopandas
- future # Python 2/3 compatibility
- h5py # Wrapper for HDF5
- ipython # IPython interpreter and tools
- jupyter # Jupyter federation architecture
- jupyterlab
- matplotlib # 2D plotting library
- ncar-jobqueue
- nc-time-axis
- netcdf4 # Wrapper for netcdf4
- notebook # Notebook interface
- numpy # N-d array and numerics
- pandas # Labeled array library
- scipy # Common math/stats/science functions
- scikit-learn # Macine learning library
- seaborn # Statistical visualizations
- shapely
- six # Python 2/3 compatibility
- sparse
- tqdm # Nice progressbar for longer computations
- xarray # N-d labeled array library
- xesmf

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