How to know which is running in Jupyter notebook?

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长发绾君心
长发绾君心 2020-12-04 15:59

I use Jupyter notebook in a browser for Python programming, I have installed Anaconda (Python 3.5). But I\'m quite sure that Jupyter in running my python commands with the n

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  • 2020-12-04 16:48

    Creating a virtual environment for Jupyter Notebooks

    A minimal Python install is

    sudo apt install python3.7 python3.7-venv python3.7-minimal python3.7-distutils python3.7-dev python3.7-gdbm python3-gdbm-dbg python3-pip
    

    Then you can create and use the environment

    /usr/bin/python3.7 -m venv test
    cd test
    source test/bin/activate
    pip install jupyter matplotlib seaborn numpy pandas scipy
    # install other packages you need with pip/apt
    jupyter notebook
    deactivate
    

    You can make a kernel for Jupyter with

    ipython3 kernel install --user --name=test
    
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  • 2020-12-04 16:51

    Assuming you have the wrong backend system you can change the backend kernel by creating a new or editing the existing kernel.json in the kernels folder of your jupyter data path jupyter --paths. You can have multiple kernels (R, Python2, Python3 (+virtualenvs), Haskell), e.g. you can create an Anaconda specific kernel:

    $ <anaconda-path>/bin/python3 -m ipykernel install --user --name anaconda --display-name "Anaconda"
    

    Should create a new kernel:

    <jupyter-data-dir>/kernels/anaconda/kernel.json

    {
        "argv": [ "<anaconda-path>/bin/python3", "-m", "ipykernel", "-f", "{connection_file}" ],
        "display_name": "Anaconda",
        "language": "python"
    }
    

    You need to ensure ipykernel package is installed in the anaconda distribution.

    This way you can just switch between kernels and have different notebooks using different kernels.

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  • 2020-12-04 16:53
    import sys
    print(sys.executable)
    print(sys.version)
    print(sys.version_info)
    

    Seen below :- output when i run JupyterNotebook outside a CONDA venv

    /home/dhankar/anaconda2/bin/python
    2.7.12 |Anaconda 4.2.0 (64-bit)| (default, Jul  2 2016, 17:42:40) 
    [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
    sys.version_info(major=2, minor=7, micro=12, releaselevel='final', serial=0)
     
    

    Seen below when i run same JupyterNoteBook within a CONDA Venv created with command --

    conda create -n py35 python=3.5 ## Here - py35 , is name of my VENV
    

    in my Jupyter Notebook it prints :-

    /home/dhankar/anaconda2/envs/py35/bin/python
    3.5.2 |Continuum Analytics, Inc.| (default, Jul  2 2016, 17:53:06) 
    [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
    sys.version_info(major=3, minor=5, micro=2, releaselevel='final', serial=0)
    

    also if you already have various VENV's created with different versions of Python you switch to the desired Kernel by choosing KERNEL >> CHANGE KERNEL from within the JupyterNotebook menu... JupyterNotebookScreencapture

    Also to install ipykernel within an existing CONDA Virtual Environment -

    http://ipython.readthedocs.io/en/stable/install/kernel_install.html#kernels-for-different-environments

    Source --- https://github.com/jupyter/notebook/issues/1524

     $ /path/to/python -m  ipykernel install --help
     usage: ipython-kernel-install [-h] [--user] [--name NAME]
                              [--display-name DISPLAY_NAME]
                              [--profile PROFILE] [--prefix PREFIX]
                              [--sys-prefix]
    

    Install the IPython kernel spec.

    optional arguments: -h, --help show this help message and exit --user Install for the current user instead of system-wide --name NAME Specify a name for the kernelspec. This is needed to have multiple IPython kernels at the same time. --display-name DISPLAY_NAME Specify the display name for the kernelspec. This is helpful when you have multiple IPython kernels. --profile PROFILE Specify an IPython profile to load. This can be used to create custom versions of the kernel. --prefix PREFIX Specify an install prefix for the kernelspec. This is needed to install into a non-default location, such as a conda/virtual-env. --sys-prefix Install to Python's sys.prefix. Shorthand for --prefix='/Users/bussonniermatthias/anaconda'. For use in conda/virtual-envs.

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  • 2020-12-04 16:56
    from platform import python_version
    
    print(python_version())
    

    This will give you the exact version of python running your script. eg output:

    3.6.5
    
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  • 2020-12-04 16:58
    import sys
    sys.executable
    

    will give you the interpreter. You can select the interpreter you want when you create a new notebook. Make sure the path to your anaconda interpreter is added to your path (somewhere in your bashrc/bash_profile most likely).

    For example I used to have the following line in my .bash_profile, that I added manually :

    export PATH="$HOME/anaconda3/bin:$PATH"
    

    EDIT: As mentioned in a comment, this is not the proper way to add anaconda to the path. Quoting Anaconda's doc, this should be done instead after install, using conda init:

    Should I add Anaconda to the macOS or Linux PATH?

    We do not recommend adding Anaconda to the PATH manually. During installation, you will be asked “Do you wish the installer to initialize Anaconda3 by running conda init?” We recommend “yes”. If you enter “no”, then conda will not modify your shell scripts at all. In order to initialize after the installation process is done, first run source <path to conda>/bin/activate and then run conda init

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