Showing 6 open source projects for "learn python source codes"

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  • 1
    LabRPS

    LabRPS

    Random phenomena generator

    This is an official mirror of LabRPS. Code and release files are primarily hosted on https://github.com/LabRPS/LabRPS and mirrored here LabRPS aims to be a tool for the numerical simulation of random phenomena such as stochastic wind velocity, seismic ground motion, sea surface ... etc. It can be in a wide range of uses around engineering, such as random vibration or vibration fatigue in mechanical engineering, buffeting analysis in bridge engineering.... LabRPS is mainly to assist...
    Downloads: 0 This Week
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  • 2
    Autonomous Robot Simulator

    Autonomous Robot Simulator

    Physically-accurate robotics simulator written in Python

    ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.
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  • 3

    SunlightDPD

    Open source codes related to dissipative particle dynamics

    SunlightDPD provides a home for open source codes related to the dissipative particle dynamics (DPD) simulation method. Currently the file release contains the HNC integral equation code.
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  • 4
    OpenMie aims to solve electromagnetic scattering problems via the Mie method to provide a benchmark against which to test more general scattering codes. Complete field solutions are given for a number of practical geometries.
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  • 5
    gCoder is a GUI, server-client based dyanmic programing contest controler built in Python. Its a programing contest controller like pc^2 and TopCoder(TM) areana. It use system test module, which can actually test contestent codes without any human interf
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  • 6
    Collection of utilities to link together various simulation codes relevant to the analysis and optimisation of Human Powered Vehicles (HPVs)
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