supermarket_optimization | PLU numbers , and produces a comma-separated file

by kinguistics Python Version: Current License: No License

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kandi X-RAY | supermarket_optimization Summary

supermarket_optimization is a Python library. supermarket_optimization has no bugs, it has no vulnerabilities and it has low support. However supermarket_optimization build file is not available. You can download it from GitHub.

A program that takes a list of transactions with PLU numbers, and produces a comma-separated file of frequently co-purchased items.

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Quality

Security

License

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Support

supermarket_optimization 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.

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

It has a neutral sentiment in the developer community.

The latest version of supermarket_optimization is current.

Quality

supermarket_optimization has no bugs reported.

Security

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

License

supermarket_optimization 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

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

supermarket_optimization has no build file. You will be need to create the build yourself to build the component from source.

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supermarket_optimization Key Features

No Key Features are available at this moment for supermarket_optimization.

supermarket_optimization Examples and Code Snippets

No Code Snippets are available at this moment for supermarket_optimization.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install supermarket_optimization

You can download it from GitHub.
You can use supermarket_optimization 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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