network-sampling-research | applied mathematics at Illinois Institute

by alecchendev Python Version: Current License: No License

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kandi X-RAY | network-sampling-research Summary

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

During high school, I worked with an associate professor of applied mathematics to conduct independent research on network sampling methods and analysis. I was looking to get hands-on experience with applied math or computer science research, and I wrote python scripts to run tests comparing sampling methods on a dataset from the Stanford Network Analysis Project (SNAP).

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network-sampling-research 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.

network-sampling-research has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of network-sampling-research is current.

Quality

network-sampling-research has no bugs reported.

Security

network-sampling-research has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

network-sampling-research 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.

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network-sampling-research releases are not available. You will need to build from source code and install.

network-sampling-research has no build file. You will be need to create the build yourself to build the component from source.

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network-sampling-research Key Features

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network-sampling-research Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install network-sampling-research

You can download it from GitHub.
You can use network-sampling-research 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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