F12017-RND | Stochastic simulation of the R & D process in an F1 team

by jostbr Python Version: Current License: No License

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

kandi X-RAY | F12017-RND Summary

F12017-RND is a Python library. F12017-RND has no bugs, it has no vulnerabilities and it has low support. However F12017-RND build file is not available. You can download it from GitHub.

Stochastic simulation of the R&D process in an F1 team in F1 2017

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Quality

Security

License

Reuse

Support

F12017-RND has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

F12017-RND has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of F12017-RND is current.

Quality

F12017-RND has no bugs reported.

Security

F12017-RND has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

F12017-RND 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

F12017-RND releases are not available. You will need to build from source code and install.

F12017-RND has no build file. You will be need to create the build yourself to build the component from source.

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F12017-RND Key Features

No Key Features are available at this moment for F12017-RND.

F12017-RND Examples and Code Snippets

No Code Snippets are available at this moment for F12017-RND.

Community Discussions

No Community Discussions are available at this moment for F12017-RND.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install F12017-RND

You can download it from GitHub.
You can use F12017-RND 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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