nbopen | Open a Jupyter notebook in the best available server | Code Editor library

 by   takluyver Python Version: 0.7 License: Non-SPDX

kandi X-RAY | nbopen Summary

kandi X-RAY | nbopen Summary

nbopen is a Python library typically used in Editor, Code Editor, Jupyter applications. nbopen has no bugs, it has no vulnerabilities and it has low support. However nbopen build file is not available and it has a Non-SPDX License. You can install using 'pip install nbopen' or download it from GitHub, PyPI.

Open a Jupyter notebook in the best available server
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            kandi-support Support

              nbopen has a low active ecosystem.
              It has 265 star(s) with 49 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 34 open issues and 25 have been closed. On average issues are closed in 91 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nbopen is 0.7

            kandi-Quality Quality

              nbopen has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nbopen 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

              nbopen releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              nbopen has no build file. You will be need to create the build yourself to build the component from source.
              nbopen saves you 61 person hours of effort in developing the same functionality from scratch.
              It has 160 lines of code, 4 functions and 7 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nbopen and discovered the below as its top functions. This is intended to give you an instant insight into nbopen implemented functionality, and help decide if they suit your requirements.
            • Open a notebook
            • Find the best server to use
            • Create a new notebook
            Get all kandi verified functions for this library.

            nbopen Key Features

            No Key Features are available at this moment for nbopen.

            nbopen Examples and Code Snippets

            Open .ipynb in Anaconda Jupyter Notebook on double-click (macOS)
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            call "C:\Users\XYZ\Anaconda3\Scripts\activate.bat"
            call conda activate myEnvironment
            call python C:\Users\XYZ\Anaconda3\Scripts\jupyter-notebook-script.py %1
            
            How to fix package resolution warnings in conda?
            Pythondot img2Lines of Code : 2dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            conda update --strict-channel-priority --all
            
            How to open ipynb files into browser by double-click
            Pythondot img3Lines of Code : 3dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            PS> (gcm nbopen).Path
            E:\Programs\anaconda\Scripts\nbopen.exe
            

            Community Discussions

            QUESTION

            Open .ipynb in Anaconda Jupyter Notebook on double-click (macOS)
            Asked 2020-Sep-10 at 08:03

            I've been trying to figure out how I can open a .ipynb file on double-click on a Mac, so the file opens with Anaconda and then automatically opens Jupyter Notebook with the file contents.

            I have tried creating an application through Automator that opens with a jupyter_lab command, but the issue is that Jupyter lives in Anaconda, so this method is not working. See these articles for my steps: https://samedwardes.com/2020-01-31-open-ipynb-with-double-click/ and Open an ipython notebook via double-click on osx

            I have also tried installing nbopen with the following:

            python3 -m pip install nbopen

            This works, and then I can run nbopen file.ipynb through the terminal, but I want to be able to bypass this step and do it while in file explorer, physically looking at the file instead.

            I have ran the recommended command for osx to integrate it with file manager ./osx-install.sh but I just get zsh no such file or directory and can't really find any help with figuring out why this is pushing back an error.

            Any suggestions?

            ...

            ANSWER

            Answered 2020-Sep-10 at 08:03

            I have this "convenience issue" as well, and didn't go for the nbopen route, but instead, I just made a batch script (I named it jupyter-notebook.bat) that calls certain conda functions, and pretty much initiates things like how double clicking works. In the script, I just have this:

            Source https://stackoverflow.com/questions/62453347

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

            Vulnerabilities

            No vulnerabilities reported

            Install nbopen

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

          • CLONE
          • HTTPS

            https://github.com/takluyver/nbopen.git

          • CLI

            gh repo clone takluyver/nbopen

          • sshUrl

            git@github.com:takluyver/nbopen.git

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