https://github.com/dmentipl/improver

IMPROVER is a library of algorithms for meteorological post-processing.

https://github.com/dmentipl/improver

Science Score: 10.0%

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    Low similarity (11.9%) to scientific vocabulary
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IMPROVER is a library of algorithms for meteorological post-processing.

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README.md

IMPROVER

License Tests Codacy Badge Codacy Badge codecov Documentation Status Python 3.6 Python 3.7 DOI

IMPROVER is a library of algorithms for meteorological post-processing and verification.

Installing improver

Conda installation

Here we demonstrate the installation of improver via conda with aid of the mamba package manager to speedup the process.

install a mamba environment conda create -c conda-forge --override-channels mamba -n mamba

activate this mamba environment conda activate mamba

install the improver environment using mamba mamba create -c conda-forge python=3.7 improver -n improver

deactivate your mamba environment conda deactivate

activate your new improver environment conda activate improver

Pre-commit Hook

OPTIONAL: A pre-commit hook can be added to facilitate the development of this code base. Ensure that you have python available on the path, then install the pre-commit hook by running pre-commit install from within your working copy. pre-commit checks will run against modified files when you commit from then on.

These pre-commit hooks will run as part of continuous integration to maintain code quality standards in the project.

Owner

  • Name: Daniel Mentiplay
  • Login: dmentipl
  • Kind: user
  • Location: Melbourne, Australia
  • Company: Bureau of Meteorology

Scientific software engineer at the Bureau of Meteorology and former astrophysicist

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