如何在linux下使用anaconda安装多个ipython 3.0内核（python 2.7，python 3.4等...）？

Question

Ipython 3.0 (Jupyter) allows to choose which kernel (python 2.7, python 3.4, etc...) to use when creating a new ipython notebook. How can I install multiple ipython notebook kernels under Continuum Anaconda?

Answer 1

You'll want to make separate conda environments for Python 2 and 3 (see info elsewhere on how to do this), with IPython installed in both of them. Then, in each environment, run:

ipython kernelspec install-self

This registers that kernel so IPython can see it from outside the environment.

If you want more kernelspecs for different environments, look at the files in ~/.ipython/kernels to see how to describe them.

Answer 2

install-self is being deprecated: https://github.com/jupyter/jupyter/issues/23

install-self
    [DEPRECATED] Install the IPython kernel spec directory for this Python.

Try

python -m ipykernel install --user --display-name "Python (current_env)"
source activate myenv
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"

instead.

Reference: http://ipython.readthedocs.org/en/stable/install/kernel_install.html