SS3D | Space Station 3D , another remake | Game Engine library

by RE-SS3D C# Version: 0.0.6.3 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | SS3D Summary

SS3D is a C# library typically used in Gaming, Game Engine, Unity applications. SS3D has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

RE:SS3D the game, another remake of SS13, but with an extra D.

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Quality

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License

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Support

SS3D has a low active ecosystem.

It has 185 star(s) with 120 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 45 open issues and 502 have been closed. On average issues are closed in 57 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SS3D is 0.0.6.3

Quality

SS3D has no bugs reported.

Security

SS3D has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SS3D 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

SS3D releases are available to install and integrate.

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SS3D Key Features

No Key Features are available at this moment for SS3D.

SS3D Examples and Code Snippets

No Code Snippets are available at this moment for SS3D.

Community Discussions

Trending Discussions on SS3D

Sampling with groups in pandas

QUESTION

Sampling with groups in pandas

Asked 2019-Sep-05 at 12:33

I have a dataframe with user and session columns, I want to randomly sample the number of sessions so that the dataframe contains N unique sessions per user. The ordering of sessions is important i.e. the 'in' column per session must be preserved.

For example if N=2 and I have:

...

ANSWER

Answered 2018-Jun-19 at 13:51

Use groupby + transform to define a mask of your original dataframe, and then subset the original df by that mask.

I used list(set(x)) to guarantee that the same session_id is not picked twice (along with replace=False). This assumes you want each session_id to have an equal probability of showing up, regardless of how many times it appeared in the original df.

Source https://stackoverflow.com/questions/50929841

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

Vulnerabilities

No vulnerabilities reported

Install SS3D

You can download it from GitHub.

Support

CONTRIBUTING.md contains information regarding technical contributions, including Unity version, setting up the project, styling code, and using github. https://ss3d.space/contribute/ breaks down the contribution types (including art assets) with links to helpful guides and to-do boards.

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