Percolation-Modelling | Percolation theory describes the physics and mathematics

 by   amv213 Python Version: Current License: No License

kandi X-RAY | Percolation-Modelling Summary

kandi X-RAY | Percolation-Modelling Summary

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

Percolation theory describes the physics and mathematics of long-range connections in random systems and is applicable to a broad range of physics systems including conductivity, porosity, phase transitions, polymers, composite materials, and material strength. The approach can also be used to analyse diverse systems such as forest fires, disease epidemics, social networks and the Internet. In this project I built a simple percolation model and use it to investigate the percolation threshold. The project was carried out at Imperial College London as part of the 1st year Physics Undergraduate Computing Course (2013-2014).
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            kandi-support Support

              Percolation-Modelling has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              Percolation-Modelling has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Percolation-Modelling is current.

            kandi-Quality Quality

              Percolation-Modelling has no bugs reported.

            kandi-Security Security

              Percolation-Modelling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Percolation-Modelling does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Percolation-Modelling releases are not available. You will need to build from source code and install.
              Percolation-Modelling has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Percolation-Modelling and discovered the below as its top functions. This is intended to give you an instant insight into Percolation-Modelling implemented functionality, and help decide if they suit your requirements.
            • Find the clusters in an array
            • Find the largest cluster in an array .
            • Checks if a cluster is touching
            • Join two clusters .
            • Returns the number of overlapping disks .
            • Given a list of clusters return the cluster .
            • Fit a function to a function .
            Get all kandi verified functions for this library.

            Percolation-Modelling Key Features

            No Key Features are available at this moment for Percolation-Modelling.

            Percolation-Modelling Examples and Code Snippets

            No Code Snippets are available at this moment for Percolation-Modelling.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install Percolation-Modelling

            You can download it from GitHub.
            You can use Percolation-Modelling 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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          • CLI

            gh repo clone amv213/Percolation-Modelling

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            git@github.com:amv213/Percolation-Modelling.git

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