Bluemath {Toolkit}
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
Metadata
Release files for bluemath-tk 1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bluemath_tk-1.3.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bluemath_tk-1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / bluemath_tk-1.3.tar.gz
| Download URL | bluemath_tk-1.3.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
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Release files / bluemath_tk-1.3-py3-none-any.whl
| Download URL | bluemath_tk-1.3-py3-none-any.whl |
|---|---|
| Size | 665.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
