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Models to visualize and forecast crop conditions and yields

Project description

geocif

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Models to visualize and forecast crop conditions and yields

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  1. Update requirements.txt
  2. Update version="A.B.C" in setup.py
  3. Navigate to the directory containing setup.py and run the following command:
pipreqs . --force --savepath requirements.txt
mamba env export > environment.yml
python setup.py sdist
twine upload dist/geocif-A.B.C.tar.gz

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This package was created with Cookiecutter and the giswqs/pypackage project template.

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geocif-0.1.51.tar.gz (122.9 kB view details)

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  • Download URL: geocif-0.1.51.tar.gz
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  • Size: 122.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

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