cldf | CLDF : Cross-Linguistic Data Formats | JSON Processing library

 by   cldf Python Version: v1.1.2 License: Apache-2.0

kandi X-RAY | cldf Summary

kandi X-RAY | cldf Summary

cldf is a Python library typically used in Utilities, JSON Processing applications. cldf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

CLDF is a specification of data formats suitable to encode cross-linguistic data in a way that maximizes interoperability and reusability, thus contributing to FAIR Cross-Linguistic Data. The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119.
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            kandi-support Support

              cldf has a low active ecosystem.
              It has 21 star(s) with 10 fork(s). There are 33 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 16 open issues and 71 have been closed. On average issues are closed in 336 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of cldf is v1.1.2

            kandi-Quality Quality

              cldf has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              cldf is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cldf releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              cldf saves you 145 person hours of effort in developing the same functionality from scratch.
              It has 362 lines of code, 15 functions and 4 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed cldf and discovered the below as its top functions. This is intended to give you an instant insight into cldf implemented functionality, and help decide if they suit your requirements.
            • Create index file
            • Return a colrow for a given column
            • Return the cardinality of a term
            • Convert a table to markdown
            • Iterate over the changelog md file
            • Load a component from disk
            • Main entry point for cldf
            • Return a namespace from a qualified name
            • Read terms rdf file
            Get all kandi verified functions for this library.

            cldf Key Features

            No Key Features are available at this moment for cldf.

            cldf Examples and Code Snippets

            No Code Snippets are available at this moment for cldf.

            Community Discussions

            QUESTION

            What is the most efficient way to apply multiprocessing to unique categories of entries in a pandas dataframe?
            Asked 2018-Aug-20 at 14:16

            I have a large dataset (tsv) that looks something like this:

            ...

            ANSWER

            Answered 2018-Aug-20 at 14:16

            You can use df.groupby, so note:

            Source https://stackoverflow.com/questions/51932319

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

            Vulnerabilities

            No vulnerabilities reported

            Install cldf

            You can download it from GitHub.
            You can use cldf 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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