I'm trying to set a good environnement for doing some scientific stuff with python. To do so, I installed Jupyter & miniconda.
Then I want to be able to have different environnement and use them with Jupyter notebooks. So I created two custom envs with conda : py27 and py35.
> conda env list
# conda environments:
#
py27 /Users/***/miniconda3/envs/py27
py35 /Users/***/miniconda3/envs/py35
root * /Users/***/miniconda3
Then on my notebook I have two kernels python 2
and python 3
.
Inside a notebook, I get the following with the python3 kernel :
> import sys
> print(sys.executable)
/Users/***/miniconda3/envs/py35/bin/python
And this with the python2 kernel :
> import sys
> print(sys.executable)
/usr/local/opt/python/bin/python2.7
sys.executable
to miniconda env for python2 ?source activate py35
has a link with jupyter notebook
?I think I really missed something.
Thank you everyone.
--- edit
I have multiple jupyter bin :
> where jupyter
/usr/local/bin/jupyter
/usr/local/bin/jupyter
/Users/ThomasDehaeze/miniconda3/bin/jupyter
I have only one kernel here /usr/local/share/jupyter/kernels/python2
.
But inside Jupyter, I have two kernels, python2
and python3
. Where can I find the other one ?
I modified kernel.json
from /usr/local/share/jupyter/kernels/python2
:
{
"display_name": "Python 2",
"language": "python",
"argv": [
"/Users/***/miniconda3/envs/py27/bin/python2.7",
"-m",
"ipykernel",
"-f",
"{connection_file}"
]
}
And then :
import sys
print(sys.executable)
/usr/local/opt/python/bin/python2.7
So nothing has changed
For Anaconda I suggest you a much easier and proper solution; just give a look at the nb_conda_kernels package.
It allows you to "manage your conda environment-based kernels inside the Jupyter Notebook".
Is should be included since Anaconda version 4.1.0, otherwise simply use
conda install nb_conda
Now you should be able to manage all direcly from the Notebook interface.