Skip to main content

Module collection for custom climate data analysis. The main objective of this Python package is to provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.

Project description

Bluemath {Toolkit}

GitHub Actions GitHub PyPI Conda (channel only) PyPI - Python Version Ruff Ask DeepWiki

Module collection for custom climate data analysis. The main objective of this Python package is to provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.

The package also includes a set of utility functions for processing climate data. To facilitate understanding of how to use these modules, simple demonstration scripts and the necessary data have been added to this repository.

Installation

pip install bluemath-tk
conda install conda-forge::bluemath-tk

Project status

  • UNDER DEVELOPMENT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bluemath_tk-1.2.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bluemath_tk-1.2-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file bluemath_tk-1.2.tar.gz.

File metadata

  • Download URL: bluemath_tk-1.2.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for bluemath_tk-1.2.tar.gz
Algorithm Hash digest
SHA256 dc4ce6e6281b96890bdee1705df8e64620333fb94ba1bfdd0b4cadbded0101c3
MD5 dcd88a91b146424515701c29c86a9cfc
BLAKE2b-256 a9941265160a689463b9c188165dca669f0b1e8f53442f62b6f3346bf88ea0bf

See more details on using hashes here.

File details

Details for the file bluemath_tk-1.2-py3-none-any.whl.

File metadata

  • Download URL: bluemath_tk-1.2-py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for bluemath_tk-1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a15626b3de2c7a6ad5c446acae83c097e7b0bf6acea0fac8a6f2fe21425f862e
MD5 2aa1225d244056b2841a59ef768480ec
BLAKE2b-256 99ca6a256c3be612cd6cc433f1b640f6d0081db525f36a1f0c5060170e6701cb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page