environment.yml

name: rbig_eo
channels:
- defaults
- conda-forge
dependencies:
- python=3.8
# Standard Libraries
- numpy             # Numerical Linear Algebra
- scipy             # Scientific Computing
- xarray            # Data structures
- pandas            # Data structure
- scikit-learn      # Machine Learning
- scikit-image      # Image Processing
- statsmodels       # Statistical Learning
- pymc3             # Probabilistic programming library
# VISUALIZATION
- matplotlib
- seaborn
- bokeh
- plotly::plotly==4.6.0
- pyviz::geoviews
- conda-forge::cartopy
- datashader
# GEOSPATIAL PACKAGES
- geopandas==0.7
- conda-forge::regionmask
- conda-forge::xesmf
- conda-forge::xcube
- conda-forge::rioxarray
# SCALE
- numba
- dask              # Out-of-Core processing
- dask-ml           # Out-of-Core machine learning
# Storage
- hdf5              # standard large storage h5
- conda-forge::zarr
# GUI
- conda-forge::nb_conda_kernels     # Access to other conda kernels
- conda-forge::nodejs               # for extensions in jupyterlab
- conda-forge::tqdm       
- pip
- pip:
  # GPY
  - "git+https://github.com/SheffieldML/GPy.git#egg=GPy"
  # Jupyter
  - ipykernel
  - ipywidgets
  # Formatters
  - black
  - pylint
  - isort
  - flake8
  - mypy
  - pytest
  - pyprojroot
  # Extra
  - "git+https://github.com/swartn/cmipdata.git#egg=cmipdata"
  - "git+https://github.com/jejjohnson/rbig.git#egg=rbig"
  - "git+https://github.com/dcs4cop/xcube.git#egg=xcube" --pre
  - emukit
  - netCDF4
  - shapely
  - affine
  - netCDF4
  - joblib          # Embarssingly parallel
  # Documentation
  - jupyter-book
  - ghp-import