python-ltc | Tools for working with LTC

 by   nocarryr Python Version: 0.0.3 License: GPL-3.0

kandi X-RAY | python-ltc Summary

kandi X-RAY | python-ltc Summary

python-ltc is a Python library. python-ltc 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 install using 'pip install python-ltc' or download it from GitHub, PyPI.

Tools for working with LTC (Linear Timecode)
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            kandi-support Support

              python-ltc has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 6 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-ltc is 0.0.3

            kandi-Quality Quality

              python-ltc has no bugs reported.

            kandi-Security Security

              python-ltc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              python-ltc 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

              python-ltc releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-ltc and discovered the below as its top functions. This is intended to give you an instant insight into python-ltc implemented functionality, and help decide if they suit your requirements.
            • Plot the wave
            • Generate frames
            • Calculate the offset for the given samples
            • Generate a pandas dataframe
            • Fills the buffer
            • Fill all zeros
            • Generate frames from the stream
            • Get the long description
            • Convert README to README md file
            • Generate samples
            • Resample an array
            • Set a frame from a datetime datetime object
            • Run the loop
            • Convert README md file to rst
            • Increment hour value
            • Set the Json ready property
            • Callback function to send data to the client
            • Write data to buffer
            • Decodes values from a list of values
            • Set block size
            • Run the generator
            • Start the background thread
            • Run loop
            • Run time test
            • Start the client
            • Stop the transport
            • Starts the thread
            Get all kandi verified functions for this library.

            python-ltc Key Features

            No Key Features are available at this moment for python-ltc.

            python-ltc Examples and Code Snippets

            No Code Snippets are available at this moment for python-ltc.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-ltc

            You can install using 'pip install python-ltc' or download it from GitHub, PyPI.
            You can use python-ltc 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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            Install
          • PyPI

            pip install python-ltc

          • CLONE
          • HTTPS

            https://github.com/nocarryr/python-ltc.git

          • CLI

            gh repo clone nocarryr/python-ltc

          • sshUrl

            git@github.com:nocarryr/python-ltc.git

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