Old_coding | My school-time code examples

by Flammifer Python Version: Current License: No License

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

kandi X-RAY | Old_coding Summary

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

My school-time code examples.

Support

Quality

Security

License

Reuse

Support

Old_coding has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Old_coding is current.

Quality

Old_coding has no bugs reported.

Security

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

License

Old_coding 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

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

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

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Old_coding Key Features

No Key Features are available at this moment for Old_coding.

Old_coding Examples and Code Snippets

No Code Snippets are available at this moment for Old_coding.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Old_coding

You can download it from GitHub.
You can use Old_coding 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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