I installed jupyter using Anaconda 3.6  on ubuntu machine along with pypy3. 
Then I performed these 3 commands

pypy3 -m ensurepip
pypy3 -m pip install ipykernel

which worked fine, but the third command gave an error.

pypy3 -m ipykernel install --name pypy3 --display-name="Python (PyPy)" 

[error 13]  permission denied : 'user/local/share/jupyter'

How can I fix this.

On Monday, October 16, 2017 at 8:59:07 AM UTC-7, Matthias Bussonnier wrote:
>
> You do not need to install the full notebook using Pypy, what you can 
> do is just install ipykernel: 
>
> pypy -m pip install ipykernel 
> pypy -m ipykernel install --name pypy --display-name="Python (PyPy)" 
>
> And the PyPy kernel should appear alongside your other kernels. 
> -- 
> M 
>
> On Mon, Oct 16, 2017 at 8:06 AM, Kiko <[email protected] <javascript:>> 
> wrote: 
> > you can install pypy and then, from the command line: 
> > 
> > pypy -m pip install notebook 
> > 
> > If you are on linux you can try 
> > https://github.com/kikocorreoso/test_scipypy (it is not updated to the 
> > latest pypy version). 
> > 
> > 2017-10-16 17:00 GMT+02:00, John <[email protected] <javascript:>>: 
> >> I noticed that there is a cell magic %%pypy to run python code using 
> pypy 
> >> in a single cell. Is it possible to run Jupyter notebook with pypy as 
> the 
> >> kernel for the notebook? If so how can I do this? 
> >> 
> >> John 
> >> 
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