How do I add python3 kernel to jupyter IPython

Question

My Jupyter notebooks installed with python 2 kernel  I do not understand why  I might have messed something up when I did the install  I already have python 3  installed  How can I add it to Jupyter  Here s a screenshot of what the default Jupyter insalled with python3 -m install jupyter and opened in the browser with jupyter notebooklooks like

User · Answer

Make sure you have ipykernel installed and use ipython kernel install to drop the kernelspec in the right location for python2  Then ipython3 kernel install for Python3  Now you should be able to chose between the 2 kernels regardless of whether you use jupyter notebook  ipython notebook or ipython3 notebook  the later two are deprecated    Note that if you want to install for a specific Python executable you can use the following trick   path to python -m ipykernel install  lt options gt    This works when using environments  venv conda      and the  lt options gt  let you name your kernel  see --help   So you can do  conda create -n py36-test python 3 6 source activate py36-test python -m ipykernel install --name py36-test source deactivate   And now you get a kernel named py36-test in your dropdown menus  along the other ones   See Using both Python 2 x and Python 3 x in IPython Notebook which has more recent information

User · Answer

sudo apt-get install python3-pip python3-dev pip3 install -U jupyter

User · Answer

open terminal or cmd for window   then run following commands   On window  drop  source  in the second line    conda create -n py35 python 3 5 source activate py35 conda install notebook ipykernel ipython kernel install --user --name python3 5   I tried some method but It doesnt work  then I found this way  It worked with me  Hoping it can help

User · Answer

I was getting same error with python-2  I wanted to run python-2 jupyter notebook session but by default I was getting python-3  So easiest work around is open Anaconda terminal for python-2 and type  jupyter notebook    it will launch jupyter-notebook session without any problem  Similary it could be tried with python-3

User · Answer

The solution is well documented in the official docs  https   ipython readthedocs org en latest install kernel install html  I tried the first approach  Since I already had ipykernel installed  simply running python3 -m ipykernel install --user solved the problem

User · Answer

INSTALLING MULTIPLE KERNELS TO A SINGLE VIRTUAL ENVIRONMENT  VENV   Most  if not all  of these answers assume you are happy to install packages globally  This answer is for you if you    use a  NIX machine don t like installing packages globally don t want to use anaconda  lt -  you re happy to run the jupyter server from the command line want to have a sense of what where the kernel installation  is      Note  this answer adds a python2 kernel to a python3-jupyter install  but it s conceptually easy to swap things around     Prerequisites   You re in the dir from which you ll run the jupyter server and save files python2 is installed on your machine python3 is installed on your machine virtualenv is installed on your machine  Create a python3 venv and install jupyter   Create a fresh python3 venv  python3 -m venv  venv Activate the venv     venv bin activate Install jupyterlab  pip install jupyterlab  This will create locally all the essential infrastructure for running notebooks   Note  by installing jupyterlab here  you also generate default  kernel specs   see below  in  PWD  venv share jupyter kernels python3   If you want to install and run jupyter elsewhere  and only use this venv for organizing all your kernels  then you only need  pip install ipykernel You can now run jupyter lab with jupyter lab  and go to your browser to the url displayed in the console   So far  you ll only see one kernel option called  Python 3    This name is determined by the display name entry in your kernel json file    Add a python2 kernel   Quit jupyter  or start another shell in the same dir   ctrl-c Deactivate your python3 venv  deactivate Create a new venv in the same dir for python2  virtualenv -p python2  venv2 Activate your python2 venv     venv2 bin activate Install the ipykernel module  pip install ipykernel  This will also generate default kernel specs for this python2 venv in  venv2 share jupyter kernels python2 Export these kernel specs to your python3 venv  python -m ipykernel install --prefix  PWD  venv  This basically just copies the dir  PWD  venv2 share jupyter kernels python2 to  PWD  venv share jupyter kernels  Switch back to your python3 venv and or rerun re-examine your jupyter server  deactivate     venv bin activate  jupyter lab  If all went well  you ll see a Python 2 option in your list of kernels  You can test that they re running real python2 python3 interpreters by their handling of a simple print  Hellow world  vs print  Hellow world   command  Note  you don t need to create a separate venv for python2 if you re happy to install ipykernel and reference the python2-kernel specs from a global space  but I prefer having all of my dependencies in one local dir    TL DR   Optionally install an R kernel  This is instructive to develop a sense of what a kernel  is     From the same dir  install the R IRkernel package  R -e  install packages  IRkernel  repos  https   cran mtu edu       This will install to your standard R-packages location  for home-brewed-installed R on a Mac  this will look like  usr local Cellar r 3 5 2 2 lib R library IRkernel   The IRkernel package comes with a function to export its kernel specs  so run  R -e  IRkernel  installspec prefix paste getwd      venv  sep        If you now look in  PWD  venv share jupyter kernels  you ll find an ir directory with kernel json file that looks something like this          argv      usr local Cellar r 3 5 2 2 lib R bin R    --slave    -e    IRkernel  main      --args     connection file        display name    R      language    R      In summary  a kernel just  is  an invocation of a language-specific executable from a kernel json file that jupyter looks for in the     share jupyter kernels dir and lists in its interface  in this case  R is being called to run the function IRkernel  main    which will send messages back and forth to the Jupiter server  Likewise  the python2 kernel just  is  an invocation of the python2 interpreter with module ipykernel launcher as seen in  venv share jupyter kernels python2 kernel json  etc   Here is a script if you want to run all of these instructions in one fell swoop

User · Answer

Following command works for me  on macOS Sierra 10 12 3   python3 -m pip install ipykernel python3 -m ipykernel install --user   check it with      jupyter kernelspec list Available kernels      python3     Users admin Library Jupyter kernels python3     python2     anaconda2 share jupyter kernels python2

User · Answer

for recent versions of jupyter ipython  use jupyter kernelspec  Full doc  https   ipython readthedocs io en latest install kernel install html  list current kernels    jupyter kernelspec list Available kernels    python2        Jupyter kernels python2   python3        Jupyter kernels python3   In my case  the python3 kernel setup was broken because the py3 5 linked was no longer there  replaced by a py3 6  add remove kernels  Remove     jupyter kernelspec uninstall python3   Add a new one  Using the Python you wish to add and pointing to the python which runs your jupiter      path to kernel env bin python -m ipykernel install --prefix  path to jupyter env --name  python-my-env    See more examples in https   ipython readthedocs io en 6 5 0 install kernel install html kernels-for-different-environments  List again     jupyter kernelspec list Available kernels    python3     usr local lib python3 6 site-packages ipykernel resources   python2     Users stefano Library Jupyter kernels python2   Doc  https   jupyter-client readthedocs io en latest kernels html kernelspecs  Details  Kernels available are listed under the kernels folder in Jupyter DATA DIRECTORY  see http   jupyter readthedocs io en latest projects jupyter-directories html for details    For instance on macosx that would be  Users YOURUSERNAME Library Jupyter kernels   the kernel is simply described by a kernel json file  eg  for  Users me Library Jupyter kernels python3 kernel json      argv         usr local opt python3 bin python3 5      -m      ipykernel      -f       connection file         language    python     display name    Python 3      Rather then manipulating that by hand  you can use the kernelspec command  as above   It was previously available through ipython now through jupyter  http   ipython readthedocs io en stable install kernel install html kernels-for-different-environments - https   jupyter-client readthedocs io en latest kernels html kernelspecs      jupyter kernelspec help Manage Jupyter kernel specifications   Subcommands -----------  Subcommands are launched as  jupyter kernelspec cmd  args    For information on using subcommand  cmd   do   jupyter kernelspec cmd -h    list     List installed kernel specifications  install     Install a kernel specification directory  uninstall     Alias for remove remove     Remove one or more Jupyter kernelspecs by name  install-self      DEPRECATED  Install the IPython kernel spec directory for this Python   To see all available configurables  use  --help-all    Kernels for other languages  By the way  not strictly related to this question but there s a lot of other kernels available    https   github com jupyter jupyter wiki Jupyter-kernels

User · Answer

Adding kernel means you want to use Jupyter Notebook with versions of python which are not showing up in the list   Simple approach- Start notebook with required python version  suppose I have python3 7 installed then use below command from terminal  cmd  to run notebook   python3 7 -m notebook   Sometimes instead of python3 7 it s install with alias of py  py3 7  python

User · Answer

Got ipython notebook with Python2  on Windows7  upgrade to Jupyter with pip install -U jupyter install Python3 install Jupyter again using pip3 install jupyter install Python3 kernel using ipython3 kernelspec install-self I finally got 2 working kernels

User · Answer

Here s a Windows non command line method I found  which worked for me  Find the folder where the kernel files are stored  on my machine - C  ProgramData jupyter kernels - note that ProgramData is a hidden folder   create a copy of the existing kernel s folder  change the name and edit the json file within to point to the new kernel s directory  In this json you can also edit the kernel name that is displayed in ipython  e g  instead of just python  2 you can specify 2 7 9 if you need to further distinguish for some reason

User · Answer

When you use conda managing your python envs  follow these two steps    activate py3  on Windows or source activate py3 on Linux  conda install notebook ipykernel or just use conda install jupyter

User · Answer

I am pretty sure all you have to do is run  pip3 install jupyter

User · Answer

Shortest and best solution from my side  conda create --name py3-ml python 3 6 conda install ipykernel  source activate py3-ml   or conda activate py3-ml python -m ipykernel install --user --name py3-ml

User · Answer

I had Python 2 7 and wanted to be able to switch to Python 3 inside of Jupyter    These steps worked for me on a Windows Anaconda Command Prompt   conda update conda conda create -n py33 python 3 3 anaconda activate py33 ipython kernelspec install-self deactivate   Now after opening ipython notebook with the usual command for Python2 7  Python3 3 is also available when creating a new notebook

User · Answer

None of the other answers were working for me immediately on ElementaryOS Freya  based on Ubuntu 14 04   I was getting the       TerminalIPythonApp  WARNING   File not found   kernelspec    error that quickbug described under Matt s answer   I had to first do    sudo apt-get install pip3  then   sudo pip3 install ipython all   At that point you can then run the commands that Matt suggested  namely  ipython kernelspec install-self and ipython3 kernelspec install-self  Now when I launch ipython notebook and then open a notebook  I am able to select the Python 3 kernel from the Kernel menu

User · Answer

For the current Python Launcher  If you have Py3 installed but default to py2  py -3 -m pip install ipykernel py -3 -m ipykernel install --user   If you have Py2 installed but default to py3  py -2 -m pip install ipykernel py -2 -m ipykernel install --user

User · Answer

I was facing the same issue  Whenever I would start jupyter notebook using the following command  I would not see an option to create a new Python 3 Notebook  I solved the issue by the running the following command  pip install notebook  After that I started notebook with the same command as before jupyter notebook  I was able to see the my home directory and create new python3 notebooks

User · Answer

I managed to install a Python3 kernel besides the Python2  Here is the way I did it    open a new notebook in Jupyter copy and run the two cells here  Enable-Python-3-kernel   The latest working link can be found here    The actual code is     mkdir -p    ipython kernels python3   file    ipython kernels python3 kernel json      display name    IPython  Python 3       language    python      argv        python3       -c    from IPython kernel zmq kernelapp import main  main         -f     connection file          codemirror mode        version   2      name    ipython

User · Answer

I successfully installed python3 kernel on macOS El Capitan  ipython version  4 1 0  with following commands    python3 -m pip install ipykernel python3 -m ipykernel install --user   You can see all installed kernels with jupyter kernelspec list    More info is available here

User · Answer

This answer explains how to create a Python 3  Jupyter 1  and ipykernel 5 workflow with Poetry dependency management   Poetry makes creating a virtual environment for Jupyter notebooks easy   I strongly recommend against running python3 commands   Python workflows that install global dependencies set you up for dependency hell  Here s a summary of the clean  reliable Poetry workflow   Install the dependencies with poetry add pandas jupyter ipykernel Open a shell within the virtual environment with poetry shell Open the Jupyter notebook with access to all the virtual environment dependencies with jupyter notebook  This blog discusses the workflow in more detail   There are clean Conda workflows as well   Watch out for a lot of the answers in this thread - they ll set you down a path that ll cause a lot of pain  amp  suffering

User · Answer

This worked for me on Ubuntu 16 04   python2 -m pip install ipykernel python2 -m ipykernel install --user  python3 -m pip install ipykernel python3 -m ipykernel install --user   Reference to the documentation  Kernels for Python 2 and 3  Installing the IPython kernel - IPython Docs

User · Answer

If you are using the anaconda distribution  this worked for me  on a macintosh      conda create -n py3k python 3 anaconda    source activate py3k    ipython kernelspec install-self   Just a note for the last command    py3k Monas-MacBook-Pro cs799 mona  ipython kernelspec install-self  TerminalIPythonApp  WARNING   Subcommand  ipython kernelspec  is deprecated and will be removed in future versions   TerminalIPythonApp  WARNING   You likely want to use  jupyter kernelspec  in the future  InstallNativeKernelSpec  WARNING    jupyter kernelspec install-self  is DEPRECATED as of 4 0  You probably want  ipython kernel install  to install the IPython kernelspec   InstallNativeKernelSpec  Installed kernelspec python3 in  usr local share jupyter kernels python3  py3k Monas-MacBook-Pro cs799 mona  ipython kernel install  Installed kernelspec python3 in  usr local share jupyter kernels python3   As tested in OSX Yosemite with the above steps and entering jupter notebook and creating a new notebook in the browser you will see the following screenshot

User · Answer

On Ubuntu 14 04 I had to use a combination of previous answers   First  install pip3 apt-get install python-pip3  Then with pip3 install jupyter pip3 install jupyter  Then using ipython3 install the kernel ipython3 kernel install

[ipython] How do I add python3 kernel to jupyter (IPython)

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