algorithm-elf | 算法精灵是一款辅助学生理解算法实现过程的教学软件

by dashingsoft Python Version: v1.2.2 License: GPL-2.0

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

kandi X-RAY | algorithm-elf Summary

algorithm-elf is a Python library. algorithm-elf has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However algorithm-elf build file is not available. You can download it from GitHub.

algorithm-elf

Support

Quality

Security

License

Reuse

Support

algorithm-elf has a low active ecosystem.

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

It had no major release in the last 12 months.

algorithm-elf has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of algorithm-elf is v1.2.2

Quality

algorithm-elf has no bugs reported.

Security

algorithm-elf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

algorithm-elf is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

algorithm-elf releases are available to install and integrate.

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

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algorithm-elf Key Features

No Key Features are available at this moment for algorithm-elf.

algorithm-elf Examples and Code Snippets

No Code Snippets are available at this moment for algorithm-elf.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install algorithm-elf

You can download it from GitHub.
You can use algorithm-elf 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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