NationalsScoringModel | inputs individual 's results over the course

by mkreiser Python Version: Current License: No License

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kandi X-RAY | NationalsScoringModel Summary

NationalsScoringModel is a Python library. NationalsScoringModel has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Program that inputs individual's results over the course of their current indoor and outdoor seasons and models an outdoor meet to simulate the NIRCA National Track and Field Championship. New method to be described soon.

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Quality

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Support

NationalsScoringModel has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

NationalsScoringModel has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NationalsScoringModel is current.

Quality

NationalsScoringModel has no bugs reported.

Security

NationalsScoringModel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NationalsScoringModel does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

NationalsScoringModel releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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NationalsScoringModel Key Features

No Key Features are available at this moment for NationalsScoringModel.

NationalsScoringModel Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install NationalsScoringModel

You can download it from GitHub.
You can use NationalsScoringModel like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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