spotify-playlist-set-theory | Applies set theory to tracks in Spotify playlists

 by   JElchison Python Version: v1.1.0 License: GPL-3.0

kandi X-RAY | spotify-playlist-set-theory Summary

kandi X-RAY | spotify-playlist-set-theory Summary

spotify-playlist-set-theory is a Python library. spotify-playlist-set-theory has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However spotify-playlist-set-theory build file is not available. You can download it from GitHub.

Applies set theory to tracks in Spotify playlists. Enables populating a destination playlist with the mathematical result of two input playlists and a set theory operation (e.g. intersect, union).
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            kandi-support Support

              spotify-playlist-set-theory has a low active ecosystem.
              It has 13 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              spotify-playlist-set-theory has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spotify-playlist-set-theory is v1.1.0

            kandi-Quality Quality

              spotify-playlist-set-theory has 0 bugs and 0 code smells.

            kandi-Security Security

              spotify-playlist-set-theory has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spotify-playlist-set-theory code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spotify-playlist-set-theory 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

              spotify-playlist-set-theory releases are available to install and integrate.
              spotify-playlist-set-theory has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 111 lines of code, 5 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spotify-playlist-set-theory and discovered the below as its top functions. This is intended to give you an instant insight into spotify-playlist-set-theory implemented functionality, and help decide if they suit your requirements.
            • Perform a set operation
            • Get a list of tracks
            • Add tracks to a playlist
            • Remove tracks from a playlist
            • Create argument parser
            Get all kandi verified functions for this library.

            spotify-playlist-set-theory Key Features

            No Key Features are available at this moment for spotify-playlist-set-theory.

            spotify-playlist-set-theory Examples and Code Snippets

            No Code Snippets are available at this moment for spotify-playlist-set-theory.

            Community Discussions

            No Community Discussions are available at this moment for spotify-playlist-set-theory.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install spotify-playlist-set-theory

            You can download it from GitHub.
            You can use spotify-playlist-set-theory 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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