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}
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
License
This project is licensed under the MIT License. See the license file for details
Project status
- UNDER DEVELOPMENT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bluemath_tk-1.0.23.tar.gz.
File metadata
- Download URL: bluemath_tk-1.0.23.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7d9dfbb3538721cfc35c8daf0c4db7fa58c73d58b04e2a5fda709ed9d28613c2
|
|
| MD5 |
5fdd1b7c008c7af0b687b5e3d3bc040d
|
|
| BLAKE2b-256 |
1e77c4e1dfdbfb3f4e8f9634f0d58e8caba3af65ece2d5c51f4c8c78d8413869
|
File details
Details for the file bluemath_tk-1.0.23-py3-none-any.whl.
File metadata
- Download URL: bluemath_tk-1.0.23-py3-none-any.whl
- Upload date:
- Size: 642.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7762eba65de071c1341b01e7d19ef18159fcb4afe9963e18d0e3eb468d3baea8
|
|
| MD5 |
a08219140880ccadb0dda845a4263abf
|
|
| BLAKE2b-256 |
170e98f68544123b6055ade83714317c35d54311468b2eec868d549176bcf026
|
