_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-verde 1.8.0
Propagated dependencies: python-dask@2024.12.1 python-numpy@1.26.4 python-pandas@2.2.3 python-pooch@1.8.1 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-xarray@2023.12.0
Channel: guix
Location: gnu/packages/geo.scm (gnu packages geo)
Home page: https://github.com/fatiando/verde
Licenses: Modified BSD
Build system: pyproject
Synopsis: Processing and gridding spatial data, machine-learning style
Description:

Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning.

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