bigdata_2015 | Репозиторий для домашних работ по курсу Технологии

 by   cscenter Python Version: Current License: No License

kandi X-RAY | bigdata_2015 Summary

kandi X-RAY | bigdata_2015 Summary

bigdata_2015 is a Python library. bigdata_2015 has no bugs, it has no vulnerabilities and it has low support. However bigdata_2015 build file is not available. You can download it from GitHub.

Репозиторий для домашних работ по курсу "Технологии хранения и обработки больших объемов данных" 2015 года. Надо: написать Екатерине Лебедевой, чтобы получить доступ на запись, сделать свой собственный бранч и сабмитить свои решения в этот бранч. Не надо: делать форк репозитория и сабмитить решения туда.
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            kandi-support Support

              bigdata_2015 has a low active ecosystem.
              It has 3 star(s) with 5 fork(s). There are 30 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              bigdata_2015 has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bigdata_2015 is current.

            kandi-Quality Quality

              bigdata_2015 has no bugs reported.

            kandi-Security Security

              bigdata_2015 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              bigdata_2015 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bigdata_2015 releases are not available. You will need to build from source code and install.
              bigdata_2015 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 bigdata_2015 and discovered the below as its top functions. This is intended to give you an instant insight into bigdata_2015 implemented functionality, and help decide if they suit your requirements.
            • Run loop
            • Distribute incoming messages
            • Return the worker for a vertex
            • Check if the superstep is active
            • Partition vertices into a dict
            • Perform the superstep
            • Get the content of a file
            • Get data from a chunk server
            • Convert a JSON string to an object
            • Get files from master
            • Get all chunk locations from the master
            • Reads vertices from file
            • Read the edges from a file
            • Read vertices from file
            • Print a matrix of rows and cols
            • Print a matrix chunk
            • Run the step
            • Update all vertices
            • Example demo
            • Create a file with the given content
            Get all kandi verified functions for this library.

            bigdata_2015 Key Features

            No Key Features are available at this moment for bigdata_2015.

            bigdata_2015 Examples and Code Snippets

            No Code Snippets are available at this moment for bigdata_2015.

            Community Discussions

            No Community Discussions are available at this moment for bigdata_2015.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install bigdata_2015

            You can download it from GitHub.
            You can use bigdata_2015 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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          • HTTPS

            https://github.com/cscenter/bigdata_2015.git

          • CLI

            gh repo clone cscenter/bigdata_2015

          • sshUrl

            git@github.com:cscenter/bigdata_2015.git

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