HamContestAnalysis
Introduction
HamContestAnalysis comprises a set of tools for radio amateurs dedicated to analyze contest with the maximum detail.
This library is divided into two main components: a collection of functions and classes that allow to easily download public logs and process them for further analysis, as well as a dashboard that provides the user not only with a general view of the contest, but also with the possibility to compare between different call signs and/or years.
Installation
HamContestAnalysis can be installed via pip from PyPI:
$ pip install hamcontestanalysis
Usage
Please see the Command-line Reference for technical details.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
License
Distributed under the terms of the MIT license, HamContestAnalysis is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from @cjolowicz's Hypermodern Python Cookiecutter template.
Metadata
Release files for hamcontestanalysis 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hamcontestanalysis-1.1.0.tar.gz | 42.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hamcontestanalysis-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 144.7 kB
Release files / hamcontestanalysis-1.1.0.tar.gz
| Download URL | hamcontestanalysis-1.1.0.tar.gz |
|---|---|
| Size | 42.9 kB |
| Tags | Source |
|
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.9
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Release files / hamcontestanalysis-1.1.0-py3-none-any.whl
| Download URL | hamcontestanalysis-1.1.0-py3-none-any.whl |
|---|---|
| Size | 101.8 kB |
| Tags | Python 3 |
|
SHA-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/4.0.2 CPython/3.11.9
|