s0cket_pl4y | additional playing around with sockets , magic processes

by glebite Python Version: Current License: CC0-1.0

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

kandi X-RAY | s0cket_pl4y Summary

s0cket_pl4y is a Python library. s0cket_pl4y has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Some additional playing around with sockets, magic processes, and a bit more learning.

Support

Quality

Security

License

Reuse

Support

s0cket_pl4y 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.

s0cket_pl4y has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of s0cket_pl4y is current.

Quality

s0cket_pl4y has no bugs reported.

Security

s0cket_pl4y has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

s0cket_pl4y is licensed under the CC0-1.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

s0cket_pl4y releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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s0cket_pl4y Key Features

No Key Features are available at this moment for s0cket_pl4y.

s0cket_pl4y Examples and Code Snippets

No Code Snippets are available at this moment for s0cket_pl4y.

Community Discussions

No Community Discussions are available at this moment for s0cket_pl4y.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install s0cket_pl4y

You can download it from GitHub.
You can use s0cket_pl4y 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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