如何将python3内核添加到jupyter(IPython)

Question

我的Jupyter笔记本安装了python 2内核.我不懂为什么.我做安装时可能搞砸了.我已经python 3 安装好了.我怎样才能添加它Jupyter？这是一个什么样的默认截图Jupyter与insalled python3 -m install jupyter并在浏览器中打开jupyter notebook的样子:

Answer 1

这在Ubuntu 16.04上对我有用:

python2 -m pip install ipykernel
python2 -m ipykernel install --user

python3 -m pip install ipykernel
python3 -m ipykernel install --user

参考文档:
Python 2和3的内核.安装IPython内核 - IPython文档.

Answer 2

确保已ipykernel安装并使用ipython kernel install将kernelspec放在python2的正确位置.然后ipython3 kernel install是Python3.现在,您应该可以在2个内核之间进行选择,无论您是否使用jupyter notebook,ipython notebook或者ipython3 notebook(后两个都已弃用).

请注意,如果要为特定的Python可执行文件安装,可以使用以下技巧:

path/to/python -m ipykernel install <options>

这在使用环境(venv,conda,...)时可以使用,并且<options>让你为内核命名(参见参考资料--help).所以你可以做到

conda create -n py36-test python=3.6
source activate py36-test
python -m ipykernel install --name py36-test
source deactivate

现在,您可以py36-test在下拉菜单中获得一个内核,以及其他内核.

请参阅在IPython Notebook中使用Python 2.x和Python 3.x,它们包含更多最新信息.

Answer 3

1. 用Python2获得ipython笔记本(在Windows7上)
2. 升级到Jupyter pip install -U jupyter
3. 安装Python3
4. 再次使用安装Jupyter pip3 install jupyter
5. 使用安装Python3内核 ipython3 kernelspec install-self
6. 我终于有了2个工作内核.

Answer 4

对于jupyter/ipython的最新版本:使用jupyter kernelspec

列出当前内核

$ jupyter kernelspec list
Available kernels:
  python2    .../Jupyter/kernels/python2
  python3    .../Jupyter/kernels/python3

在我的情况下,python3内核设置被破坏,因为py3.5链接不再存在,取而代之的是py3.6

添加/删除内核

去掉:

$ jupyter kernelspec uninstall python3

添加一个新的:

$ jupyter kernelspec install /usr/local/Cellar/python3/3.6.1/bin/

要查找文件夹,您可以使用which PYTHONeg which python3.6(或者pyenv which python3.6如果您使用的是pyenv!).然后

ls -la `which python3.6` 

将显示可执行文件的位置.

再次列出:

$ jupyter kernelspec list
Available kernels:
  python3    /usr/local/lib/python3.6/site-packages/ipykernel/resources
  python2    /Users/stefano/Library/Jupyter/kernels/python2

Doc:https://jupyter-client.readthedocs.io/en/latest/kernels.html#kernelspecs

细节

可用的内核列kernels在Jupyter DATA DIRECTORY 的文件夹下(有关详细信息,请参阅http://jupyter.readthedocs.io/en/latest/projects/jupyter-directories.html).

例如,在macosx上 /Users/YOURUSERNAME/Library/Jupyter/kernels/

内核简单地由kernel.json文件描述,例如.对于/Users/me/Library/Jupyter/kernels/python3/kernel.json

{
 "argv": [
  "/usr/local/opt/python3/bin/python3.5",
  "-m",
  "ipykernel",
  "-f",
  "{connection_file}"
 ],
 "language": "python",
 "display_name": "Python 3"
}

而不是手动操作,您可以使用kernelspec命令(如上所述).它之前通过jupyter通过ipython提供(http://ipython.readthedocs.io/en/stable/install/kernel_install.html#kernels-for-different-environments - https://jupyter-client.readthedocs.io/ en/latest/kernels.html #kernelspecs).

$ jupyter kernelspec help
Manage Jupyter kernel specifications.

Subcommands
-----------

Subcommands are launched as `jupyter kernelspec cmd [args]`. For information on
using subcommand 'cmd', do: `jupyter kernelspec cmd -h`.

list
    List installed kernel specifications.
install
    Install a kernel specification directory.
uninstall
    Alias for remove
remove
    Remove one or more Jupyter kernelspecs by name.
install-self
    [DEPRECATED] Install the IPython kernel spec directory for this Python.

To see all available configurables, use `--help-all`

其他语言的内核

顺便说一句,与这个问题没有严格的关系,但是还有很多其他内核可用... https://github.com/jupyter/jupyter/wiki/Jupyter-kernels

Answer 5

如果你使用anaconda发行版,这对我有用(在macintosh上):

$ conda create -n py3k python=3 anaconda

$ source activate py3k

$ ipython kernelspec install-self

只是最后一个命令的注释:

(py3k)Monas-MacBook-Pro:cs799 mona$ ipython kernelspec install-self
[TerminalIPythonApp] WARNING | Subcommand `ipython kernelspec` is deprecated and will be removed in future versions.
[TerminalIPythonApp] WARNING | You likely want to use `jupyter kernelspec` in the future
[InstallNativeKernelSpec] WARNING | `jupyter kernelspec install-self` is DEPRECATED as of 4.0. You probably want `ipython kernel install` to install the IPython kernelspec.
[InstallNativeKernelSpec] Installed kernelspec python3 in /usr/local/share/jupyter/kernels/python3
(py3k)Monas-MacBook-Pro:cs799 mona$ ipython kernel install 
Installed kernelspec python3 in /usr/local/share/jupyter/kernels/python3

通过以上步骤在OSX Yosemite中测试jupter notebook并在浏览器中输入并创建新笔记本,您将看到以下屏幕截图:

Answer 6

我使用以下命令在macOS El Capitan(ipython版本:4.1.0)上成功安装了python3内核.

python3 -m pip install ipykernel
python3 -m ipykernel install --user

您可以看到所有已安装的内核jupyter kernelspec list.

更多信息可在此处获得

Answer 7

以下命令适用于我,在macOS Sierra(10.12.3)

python3 -m pip install ipykernel
python3 -m ipykernel install --user

与jupyter kernelspec列出可用内核检查:python3 /用户/管理员/库/ Jupyter /粒/ python3 python2/anaconda2 /股/ jupyter /粒/ python2

Answer 8

打开终端(或窗口的cmd),然后运行以下命令:(在窗口中,在第二行中删除"source".)

conda create -n py35 python=3.5
source activate py35
conda install notebook ipykernel
ipython kernel install --user --name=python3.5

我尝试了一些方法,但它不起作用,然后我发现了这种方式.它与我合作.希望它可以帮助.

Answer 9

我有Python 2.7,并希望能够在Jupyter内部切换到Python 3.

这些步骤适用于Windows Anaconda命令提示符:

conda update conda
conda create -n py33 python=3.3 anaconda
activate py33
ipython kernelspec install-self
deactivate

现在在使用Python2.7的常用命令打开ipython笔记本之后,在创建新笔记本时也可以使用Python3.3.

Answer 10

要将特定的 python 添加到 jupyter 内核中，首先使用以下命令检查可用 python 或 python3 的路径

$ where python3

假设您将“/usr/local/bin/python3”作为路径之一。要为此版本的 python 创建一个名为“name_to_new_kernel”的内核，该内核将显示在 jupyter 中，

$ /usr/local/bin/python3 -m pip install ipykernel
$ /usr/local/bin/python3 -m ipykernel install --user --name name_to_new_kernel

要检查名称为“name_to_new_kernel”的新内核是否已添加到 jupyter，请运行以下命令

jupyter kernelspec list

Answer 11

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

Answer 12

我身边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

Answer 13

在Ubuntu 14.04上,我不得不使用以前的答案组合.

首先,安装 pip3 apt-get install python-pip3

然后pip3安装jupyter pip3 install jupyter

然后使用ipython3安装内核 ipython3 kernel install

Answer 14

对于当前的Python启动器

如果您已安装Py3，但默认为py2

py -3 -m pip install ipykernel
py -3 -m ipykernel install --user

如果您已安装Py2，但默认为py3

py -2 -m pip install ipykernel
py -2 -m ipykernel install --user