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).

我很确定你要做的就是逃跑

Pip3安装jupyter

解决方案在官方文档中有详细的说明:https://ipython.readthedocs.org/en/latest/install/kernel_install.html

我尝试了第一种方法。因为我已经安装了ipykernel，简单地运行python3 -m ipykernel install——user就解决了这个问题。

除了Python2之外，我还设法安装了Python3内核。我是这样做的:

在木星上打开一个新的笔记本 复制并运行这里的两个单元格:Enable-Python-3-kernel

最新的工作链接可以在这里找到。

实际代码为:

! mkdir -p ~/.ipython/kernels/python3
%%file ~/.ipython/kernels/python3/kernel.json

{
 "display_name": "IPython (Python 3)", 
 "language": "python", 
 "argv": [
  "python3", 
  "-c", "from IPython.kernel.zmq.kernelapp import main; main()", 
  "-f", "{connection_file}"
 ], 
 "codemirror_mode": {
  "version": 2, 
  "name": "ipython"
 }
}

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

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