Installing the IPython kernel¶
- Installing Jupyter
- The IPython kernel is the Python execution backend for Jupyter.
The Jupyter Notebook and other frontends automatically ensure that the IPython kernel is available. However, if you want to use a kernel with a different version of Python, or in a virtualenv or conda environment, you’ll need to install that manually.
Kernels for Python 2 and 3¶
If you’re running Jupyter on Python 3, you can set up a Python 2 kernel like this:
python2 -m pip install ipykernel python2 -m ipykernel install --user
Or using conda, create a Python 2 environment:
conda create -n ipykernel_py2 python=2 ipykernel source activate ipykernel_py2 # On Windows, remove the word 'source' python -m ipykernel install --user
If you’re running Jupyter on Python 2 and want to set up a Python 3 kernel,
follow the same steps, replacing
The last command installs a kernel spec file for the current python installation. Kernel spec files are JSON files, which can be viewed and changed with a normal text editor.
Kernels for different environments¶
If you want to have multiple IPython kernels for different virtualenvs or conda environments, you will need to specify unique names for the kernelspecs.
For example, using conda environments:
source activate myenv python -m ipykernel install --user --name myenv --display-name "Python (myenv)" source activate other-env python -m ipykernel install --user --name other-env --display-name "Python (other-env)"
--name value is used by Jupyter internally. These commands will overwrite
any existing kernel with the same name.
--display-name is what you see in
the notebook menus.