A typical GeoSpatial Env for Python using miniconda, defining the dependencies - Feb2022

GeoSpatial_Python_Env.yml

# Development environment for MagGeo
name: MagGeoEnv
# Only use conda-forge
channels:
 - conda-forge
dependencies:
 # Environment management tools
 - python=3.8
 - pip=22.0.3
 # Jupyter & interactive stuff
 - jupyter=1.0.0
 - jupyterlab=3.2.9
   #  - ipywidgets
   #  - ipympl
   #  - jupyter-resource-usage=0.6
   #  - jupyterlab-git=0.32

 # Scientific Python
 - numpy=1.22.2
 - scipy=1.8.0
 #- sympy=1.8
 #- dask=2021.8
 #- dask-ml=1.9
 #- dask-labextension=5.1
 
 # Data tools
 - pandas=1.4.1
 - xarray=0.21.1
 - netcdf4=1.5.8
 - h5py=1.12.1
 - pytables=3.7.0
 - ipyleaflet=0.15.0
 - flake8=4.0.1
 - dask=2022.2.0
 - h5py=1.12.1
 - netCDF4=1.5.8
 - jinja2=2.11.3
 #- networkx=2.6
 #- zarr
 #- intake
 #- intake-xarray
 # Visualisation
 - matplotlib=3.5.1
 #- seaborn=0.11

 # Progress Bars and user interaction
 - tqdm=4.62.3
 - click=8.0.3
 - PyYAML=6.0
 - ipywidgets=7.6.5
 
 # Geospatial
 #- geopandas=0.10.2
 #- cartopy=0.20.2


 # Holoviz advanced visualisation tools
 # - holoviews
 #- hvplot=0.7.3
 #- bokeh=2.4.2
 # - geoviews
 # - datashader
 # - param
 # - colorcet
 # - pyct[cmd]
 # - fastparquet
 # - panel
 # - jupyter-panel-proxy
 # - selenium

 # MagGeo Dependencies
 - pip:
    - markupsafe==2.0.1
    - viresclient=0.10.0
    - chaosmagpy=0.8