nbstripout | strip output from Jupyter and IPython notebooks | Data Visualization library

 by   kynan Python Version: 0.7.1 License: Non-SPDX

kandi X-RAY | nbstripout Summary

kandi X-RAY | nbstripout Summary

nbstripout is a Python library typically used in Analytics, Data Visualization, Jupyter applications. nbstripout has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However nbstripout has a Non-SPDX License. You can install using 'pip install nbstripout' or download it from GitHub, PyPI.

strip output from Jupyter and IPython notebooks
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            kandi-support Support

              nbstripout has a medium active ecosystem.
              It has 793 star(s) with 80 fork(s). There are 7 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 20 open issues and 86 have been closed. On average issues are closed in 198 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nbstripout is 0.7.1

            kandi-Quality Quality

              nbstripout has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nbstripout has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              nbstripout 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 nbstripout and discovered the below as its top functions. This is intended to give you an instant insight into nbstripout implemented functionality, and help decide if they suit your requirements.
            • Check git status
            • Get the path to the git attrfile
            • Returns the git config folder
            • Strip output from the notebook
            • Determine whether or not the cell should be kept
            • Removes a value from a nested dict
            • Iterate through all cells in nbformat
            • Calculate the size of an object
            • Install git repository
            • Uninstall git
            • Parse size identifier
            • Strip output from the notebook output
            • Iterate over all cells in a notebook
            Get all kandi verified functions for this library.

            nbstripout Key Features

            No Key Features are available at this moment for nbstripout.

            nbstripout Examples and Code Snippets

            No Code Snippets are available at this moment for nbstripout.

            Community Discussions

            QUESTION

            Usage of LSTM/GRU and Flatten throws dimensional incompatibility error
            Asked 2020-Sep-15 at 20:26

            I want to make use of a promising NN I found at towardsdatascience for my case study.

            The data shapes I have are:

            ...

            ANSWER

            Answered 2020-Aug-17 at 18:14

            I cannot reproduce your error, check if the following code works for you:

            Source https://stackoverflow.com/questions/63455257

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

            Vulnerabilities

            No vulnerabilities reported

            Install nbstripout

            You can install using 'pip install nbstripout' or download it from GitHub, PyPI.
            You can use nbstripout 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 nbstripout

          • CLONE
          • HTTPS

            https://github.com/kynan/nbstripout.git

          • CLI

            gh repo clone kynan/nbstripout

          • sshUrl

            git@github.com:kynan/nbstripout.git

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