code_train

by kazuki-komori Python Version: Current License: No License

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

kandi X-RAY | code_train Summary

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

code_train

Support

Quality

Security

License

Reuse

Support

code_train 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.

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

It has a neutral sentiment in the developer community.

The latest version of code_train is current.

Quality

code_train has no bugs reported.

Security

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

License

code_train 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

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

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

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code_train Key Features

No Key Features are available at this moment for code_train.

code_train Examples and Code Snippets

No Code Snippets are available at this moment for code_train.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install code_train

You can download it from GitHub.
You can use code_train 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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