start_jupyter_cm | Add entries to start IPython

 by   hyperspy Python Version: v2.3.0 License: BSD-3-Clause

kandi X-RAY | start_jupyter_cm Summary

kandi X-RAY | start_jupyter_cm Summary

start_jupyter_cm is a Python library. start_jupyter_cm has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install start_jupyter_cm' or download it from GitHub, PyPI.

Add entries to start IPython from the context menu in Windows
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            kandi-support Support

              start_jupyter_cm has a low active ecosystem.
              It has 29 star(s) with 6 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 21 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of start_jupyter_cm is v2.3.0

            kandi-Quality Quality

              start_jupyter_cm has no bugs reported.

            kandi-Security Security

              start_jupyter_cm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              start_jupyter_cm is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              start_jupyter_cm 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 start_jupyter_cm and discovered the below as its top functions. This is intended to give you an instant insight into start_jupyter_cm implemented functionality, and help decide if they suit your requirements.
            • Add jupyter notebooks
            • Add the context menu entry for the qtconsole
            • Returns the desktop entry
            • Generate a Nemo action
            • Get file manager configuration
            • Creates a script script
            • Check if a file manager is supported
            • Remove Jupyter
            • Removes the key from the registry
            • Returns the environment label
            Get all kandi verified functions for this library.

            start_jupyter_cm Key Features

            No Key Features are available at this moment for start_jupyter_cm.

            start_jupyter_cm Examples and Code Snippets

            No Code Snippets are available at this moment for start_jupyter_cm.

            Community Discussions

            QUESTION

            how to launch recent Jupyter QtConsole on Windows without a console window
            Asked 2018-Sep-19 at 19:12

            This older question appears to be out of date.

            It used to be (based on reading git repos and the qtconsole issue tracker) you could launch the Jupyter QtConsole without a console window running the background with:

            pythonw -m jupyter qtconsole

            However, in recent versions of Jupyter, this still launches the background console window.

            I am wondering if anyone knows how to launch the QtConsole without the annoying console window. I know you can do this from the Anaconda Navigator program, but I don't want to launch one program so that I can then launch another program. I would prefer to have a simple batch script or even a python script so that I can launch with a Start Menu shortcut

            Running the module directly also does not work:

            pythonw -c "from qtconsole.qtconsoleapp import main; main()"

            This still launches a new console window as in the picture, so I don't really know if this is possible in some straightforward way, or if the Anaconda Navigator is doing some black magic to make this happen

            ...

            ANSWER

            Answered 2018-Sep-19 at 19:12

            There are two problems here:

            Both of these are specific to Anaconda and do not happen with the stock Python. As such, file a bug against https://github.com/conda-forge/qtconsole-feedstock to get this fixed.

            These are the workarounds:

            • For the first bug, run pythonw \jupyter-qtconsole-script.py which is the script that the .exe wraps.
              (This is Anaconda-specific. Regular Python uses a different wrapping mechanism. Anaconda must be patching setuptools or something.)
            • For the second one, replace the full path in the aforementioned kernel.json with "python". This change will be overwritten when you update the ipykernel package that this file belongs to (this can be checked by searching for it in %CONDA_PREFIX%\pkgs).

            The OP reports that this solution may break other Anaconda packages. I believe those that break make assumptions about the availability of standard streams. Though it too counts as a bug in my book, it must be coming from the fact that Anaconda packages aren't tested with this setup.

            To create a shortcut/batch file to run the above command in Anaconda Prompt environment, see e.g. How to make batch files run in anaconda prompt.

            Source https://stackoverflow.com/questions/52297593

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

            Vulnerabilities

            No vulnerabilities reported

            Install start_jupyter_cm

            You can install using 'pip install start_jupyter_cm' or download it from GitHub, PyPI.
            You can use start_jupyter_cm 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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            CLONE
          • HTTPS

            https://github.com/hyperspy/start_jupyter_cm.git

          • CLI

            gh repo clone hyperspy/start_jupyter_cm

          • sshUrl

            git@github.com:hyperspy/start_jupyter_cm.git

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