Open eeholmes opened 2 weeks ago
environment.yml
# Core scientific python stack - cython~=3.0.10 # optimization, C API access - flox~=0.9.7 # optimization, xarray operations - hypothesis==6.58.0 # needed by numpy testing tools - networkx==2.8.8 - numba~=0.60.0 # high-performance numerics - numpy==1.26.4 - pandas>=2.0.1,<3.0 - scikit-image~=0.24.0 - scikit-learn>=1.2.2,<2.0.0 - scipy>=1.10 - statsmodels==0.13.5 - sympy~=1.12 - xarray>=2024.05.0 # Visualization packages - bokeh~=3.2.2 - cartopy~=0.23.0 # geospatial plotting with matplotlib - geemap~=0.32 - geoviews~=1.10.1 - hvplot~=0.10.0 - ipyleaflet~=0.19.2 - ipympl~=0.9.3 # This enables matplotlib interaction with jupyter widgets - leafmap~=0.36 - lonboard~=0.9 - matplotlib~=3.9.0 - plotly~=5.18.0 - seaborn~=0.13.2 # statistical plotting with matplotlib # Machine Learning packages - py-xgboost~=2.1.1=cpu* # Geospatial data packages - geopandas>=0.14.4 - pygmt~=0.12.0 - rasterio~=1.3 - rioxarray~=0.17.0 # File formats and file management, download, dataset caching - h5py~=3.11 - h5netcdf~=1.3.0 - nco~=5.1.6 - pooch~=1.8.0 - zarr~=2.18 - kerchunk~=0.2 # Cloud access tools and libraries - awscli~=2.17 - boto3 - s3fs>=2023.6.0 # handle login and similar details for accessing earthdata protected data # https://github.com/nsidc/earthaccess - earthaccess~=0.10.0 # Access datasets exposed via STAC - pystac-client~=0.8.3 - stackstac~=0.5.1 # Access datasets exposed via intake catalogs - intake==0.6.6 - intake-esm>=2023.7.7 - intake-stac==0.4.0 - intake-xarray==0.6.1 - gcsfs>=2023.5.0 # Distributed computing - dask>=2023.12.1 - dask-labextension~=7.0.0 - dask-geopandas~=0.4.1 # Other useful generic python packages - pillow~=10.2.0 # Python imaging library, useful for many image-related tasks - pytest~=8.3 - pytest-cov~=5.0 - pep8~=1.7 - flake8~=7.1 - tqdm~=4.66 # progress bars, with notebook support # QGIS - qgis~=3.38.0 # Maybe needed for qgis? https://github.com/conda-forge/qgis-feedstock/issues/263 - pyopencl
apt.txt will also might need this for qgis
# Needed for qgis maybe? https://github.com/conda-forge/pygridgen-feedstock/issues/10 libgl1-mesa-glx
Python + qgis
environment.yml
apt.txt will also might need this for qgis