electrostatics | Electrostatic field line and equipotential contour diagrams

 by   tomduck Python Version: Current License: GPL-3.0

kandi X-RAY | electrostatics Summary

kandi X-RAY | electrostatics Summary

electrostatics is a Python library typically used in Simulation applications. electrostatics has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

electrostatics.py is a python module for electrostatics field and potential calculations, and field line and equipotential contour plots.
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            kandi-support Support

              electrostatics has a low active ecosystem.
              It has 33 star(s) with 15 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 204 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of electrostatics is current.

            kandi-Quality Quality

              electrostatics has 0 bugs and 0 code smells.

            kandi-Security Security

              electrostatics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              electrostatics code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              electrostatics is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              electrostatics releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              electrostatics saves you 473 person hours of effort in developing the same functionality from scratch.
              It has 1115 lines of code, 86 functions and 17 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed electrostatics and discovered the below as its top functions. This is intended to give you an instant insight into electrostatics implemented functionality, and help decide if they suit your requirements.
            • Integrate over the field line
            • Return the direction of x
            • Try to download setuptools
            • Download a setuptools package
            • Download setuptools
            • Check if a particular package is installed
            • Builds a Setuptools egg
            • Parse command line options
            • Evaluate the E
            • Checks if x1 is left
            • Return the angle between two vectors
            • Compute the distance between two points
            • Download Setuptools
            • Download a file from a given URL
            • Run a check command
            • Plot the magnitude
            • Plot the magnitude distribution
            • Install Setuptools
            • Checks if a point is closer to the line
            • R Derivative of the function
            • Finalize the plot
            • Return arguments for download
            • Build the command line arguments
            Get all kandi verified functions for this library.

            electrostatics Key Features

            No Key Features are available at this moment for electrostatics.

            electrostatics Examples and Code Snippets

            No Code Snippets are available at this moment for electrostatics.

            Community Discussions

            QUESTION

            Why VisualBasic (VB.NET) faster than C++ code in this example?
            Asked 2021-Feb-12 at 15:01

            I have been benchmarking an iterative calculation, a Lapalace equation solver for electrostatics, that uses the Jacobi method. I wrote the same algorithm in Visual Basic and C++ (and other languages too). For some reason, Visual Basic .Net came as the fastest. I don't understand why. Since C++ is compiled to bytecode, then I would expect it to be faster. I feel that my C++ is perhaps not optimised as it should. Any help understanding why C++ is not faster than VisualBasic would be appreciated. Thank you.

            In the following codes, the iteration loop lasts about 2.8 seconds with Visual basic, and VisualC++ takes 4.8 seconds

            Visual Basic Code

            ...

            ANSWER

            Answered 2021-Feb-12 at 15:01

            Ok. After digging further as to why VB.Net was faster than C++, I hypothesised that the issue could be due to the C++ compiler.

            I downloaded the Intel C++ compiler and recompiled the program. I also changed the array to 1024x1024 size and the criteria to stop the iteration to maxchange=1e-4. All developed under MS Visual Studio 2019 community.

            Benchmarking results are:

            Source https://stackoverflow.com/questions/66147027

            QUESTION

            get src value from multiple images and split to single variables
            Asked 2017-Nov-15 at 13:19

            I am trying to get src value of some images but i will get it only from first one image.. is here way to get value from all images?

            ...

            ANSWER

            Answered 2017-Nov-15 at 13:04

            You can map all the matches to an array like this

            var imgSources = $('.cube-box--cube') .filter('.active') .find("img") .map(function (index, image) { return image.src; });

            Source https://stackoverflow.com/questions/47307971

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

            Vulnerabilities

            No vulnerabilities reported

            Install electrostatics

            Install into python by executing. ~ # pip install git+https://github.com/tomduck/electrostatics.git --user ~.

            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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          • HTTPS

            https://github.com/tomduck/electrostatics.git

          • CLI

            gh repo clone tomduck/electrostatics

          • sshUrl

            git@github.com:tomduck/electrostatics.git

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