AIND-Sudoku

by zlosa Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | AIND-Sudoku Summary

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

AIND-Sudoku

Support

Quality

Security

License

Reuse

Support

AIND-Sudoku 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.

AIND-Sudoku has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AIND-Sudoku is current.

Quality

AIND-Sudoku has no bugs reported.

Security

AIND-Sudoku has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AIND-Sudoku 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

AIND-Sudoku releases are not available. You will need to build from source code and install.

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

Installation instructions are available. Examples and code snippets are not available.

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AIND-Sudoku Key Features

No Key Features are available at this moment for AIND-Sudoku.

AIND-Sudoku Examples and Code Snippets

No Code Snippets are available at this moment for AIND-Sudoku.

Community Discussions

No Community Discussions are available at this moment for AIND-Sudoku.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install AIND-Sudoku

This project requires Python 3. We recommend students install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project. Please try using the environment we provided in the Anaconda lesson of the Nanodegree. Optionally, you can also install pygame if you want to see your visualization. If you've followed our instructions for setting up our conda environment, you should be all set.

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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