将Conda环境与Jupyter Notebook联系起来 [英] Link Conda environment with Jupyter Notebook

问题描述

我正在努力为python做一些科学的东西设置一个良好的环境。为此，我安装了Jupyter& miniconda。

I'm trying to set a good environnement for doing some scientific stuff with python. To do so, I installed Jupyter & miniconda.

然后我希望能够拥有不同的环境，并将它们与Jupyter笔记本一起使用。所以我用conda创建了两个自定义env：py27和py35。

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

然后在我的笔记本上我有两个内核 python 2 和 python 3 。
在笔记本中，我使用python3内核获得以下内容：

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

这与python2内核：

And this with the python2 kernel :

> import sys
> print(sys.executable)
/usr/local/opt/python/bin/python2.7

• 如何为python2设置 sys.executable 到miniconda env？


• 怎么能我用一个笔记本内核绑定一个conda env？


• 正在做 source activate py35 有一个链接 jupyter笔记本？


• How can I set the sys.executable to miniconda env for python2 ?
• How can I bind a conda env with a notebook kernel ?
• Is doing source activate py35 has a link with jupyter notebook ?

我想我真的错过了什么。

I think I really missed something.

谢谢大家。

---编辑

我有多个jupyter bin：

I have multiple jupyter bin :

> where jupyter
/usr/local/bin/jupyter
/usr/local/bin/jupyter
/Users/ThomasDehaeze/miniconda3/bin/jupyter

我这里只有一个内核 / usr / local / share / jupyter / kernels / python2 。
但是在Jupyter里面，我有两个内核， python2 和 python3 。我在哪里可以找到另一个？

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 ?

我修改了 kernel.json 来自 / 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}"
 ]
}

然后：

import sys
print(sys.executable)
/usr/local/opt/python/bin/python2.7

所以没有任何改变

推荐答案

<对于Anaconda，我建议你一个更容易和更合适的解决方案;
只需查看 nb_conda_kernels包。

它允许你在Jupyter笔记本中管理你的conda基于环境的内核。

It allows you to "manage your conda environment-based kernels inside the Jupyter Notebook".

自Anaconda版本4.1.0以来应该包含它，否则只需使用

Is should be included since Anaconda version 4.1.0, otherwise simply use

conda install nb_conda

现在你应该可以从Notebook界面管理所有直接。

Now you should be able to manage all direcly from the Notebook interface.

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