paint_python | paint by python learn and use argparse/regex/matplotlib

by michaelczhou Python Version: Current License: MIT

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

kandi X-RAY | paint_python Summary

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

paint by python learn and use argparse/regex/matplotlib.

Support

Quality

Security

License

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Support

paint_python 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.

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

It has a neutral sentiment in the developer community.

The latest version of paint_python is current.

Quality

paint_python has no bugs reported.

Security

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

License

paint_python is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

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paint_python Key Features

No Key Features are available at this moment for paint_python.

paint_python Examples and Code Snippets

No Code Snippets are available at this moment for paint_python.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install paint_python

You can download it from GitHub.
You can use paint_python 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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