import-ipynb | import an ipynb into an ipynb | Natural Language Processing library

 by   rileyedmunds Python Version: Current License: No License

kandi X-RAY | import-ipynb Summary

kandi X-RAY | import-ipynb Summary

import-ipynb is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Bert applications. import-ipynb has no bugs, it has no vulnerabilities and it has low support. However import-ipynb build file is not available. You can download it from GitHub.

import an ipynb into an ipynb
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            kandi-support Support

              import-ipynb has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1012 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of import-ipynb is current.

            kandi-Quality Quality

              import-ipynb has no bugs reported.

            kandi-Security Security

              import-ipynb has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

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              import-ipynb releases are not available. You will need to build from source code and install.
              import-ipynb 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed import-ipynb and discovered the below as its top functions. This is intended to give you an instant insight into import-ipynb implemented functionality, and help decide if they suit your requirements.
            • Load a notebook from a notebook
            • Find a notebook by fullname
            Get all kandi verified functions for this library.

            import-ipynb Key Features

            No Key Features are available at this moment for import-ipynb.

            import-ipynb Examples and Code Snippets

            No Code Snippets are available at this moment for import-ipynb.

            Community Discussions

            Trending Discussions on import-ipynb

            QUESTION

            obj must be an instance or subtype of type
            Asked 2019-Jun-24 at 09:14

            I try to dynamically load a jupyter notebook into a module and found a working code example in https://github.com/axil/import-ipynb/blob/master/import_ipynb.py. However, since this implementation uses some deprecated functions and I want to consolidate some common functionality into a single package I want to implement my own version. However, when I try to transform jupyter magic code into python code before execution, I get this strange error.

            ...

            ANSWER

            Answered 2019-Jun-24 at 09:14

            This Problem was unrelated to the provided Code

            The Problem occurred because the module that contained IPython.core.inputsplitter.IPythonInputSplitter was reloaded using importlib.reload between instantiation and the typecheck.

            Source https://stackoverflow.com/questions/56476381

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

            Vulnerabilities

            No vulnerabilities reported

            Install import-ipynb

            You can download it from GitHub.
            You can use import-ipynb 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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