最短最好的解决方案

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

在Ubuntu 14.04上，我不得不使用之前答案的组合。

首先，安装pip3 安装python-pip3

然后用pip3安装jupyter Pip3安装jupyter

然后使用ipython3安装内核 Ipython3内核安装

在ElementaryOS Freya(基于Ubuntu 14.04)上，其他答案都没有立即对我起作用;我得到了

[TerminalIPythonApp]警告|文件不存在:'kernelspec'

quickbug在Matt的回答中描述的错误。我首先要做的是:

Sudo apt-get安装pip3

安装ipython[所有]

这时你就可以运行Matt建议的命令了;即:ipython kernelspec install-self和ipython3 kernelspec install-self

现在，当我启动ipython notebook，然后打开一个notebook时，我能够从kernel菜单中选择Python 3内核。

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

当你使用conda管理你的python envs时，遵循以下两个步骤:

激活py3(在Windows上或在Linux上激活py3) Conda install notebook ipykernel或者直接使用Conda install jupyter

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).