python_physics | Simple physics primitives

by KieranWynn Python Version: Current License: MIT

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

kandi X-RAY | python_physics Summary

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

Fun with python in the most basic sense. Simple physics primitives and a linear motion model.

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Quality

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Support

python_physics 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.

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

It has a neutral sentiment in the developer community.

The latest version of python_physics is current.

Quality

python_physics has no bugs reported.

Security

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

License

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

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

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

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

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python_physics Key Features

No Key Features are available at this moment for python_physics.

python_physics Examples and Code Snippets

No Code Snippets are available at this moment for python_physics.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install python_physics

You can download it from GitHub.
You can use python_physics 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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