jupyter服务器:未启动,vs代码中没有内核 [英] jupyter server : not started, no kernel in vs code
问题描述
我试图从vs代码使用jupyter笔记本,并安装了jupyter笔记本扩展,并且我正在使用(base)conda环境执行. 当这发生的时候
i am trying to use jupyter notebooks from vs code and installed jupyter notebook extension and i am using (base)conda environment for execution. while this happened
错误:无法启动Jupyter.尝试找到jupyter时出错: 在A.startServer(c:\ Users \ DELL.vscode \ extensions \ ms-python.python-2020.2.63990 \ out \ client \ extension.js:1:784356) 在异步A.ensureServerAndNotebookImpl(c:\ Users \ DELL.vscode \ extensions \ ms-python.python-2020.2.63990 \ out \ client \ extension.js:1:783811) 在异步A.ensureServerAndNotebook(c:\ Users \ DELL.vscode \ extensions \ ms-python.python-2020.2.63990 \ out \ client \ extension.js:1:783612) 在异步A.submitCode(c:\ Users \ DELL.vscode \ extensions \ ms-python.python-2020.2.63990 \ out \ client \ extension.js:1:780564) 在异步A.reexecuteCell(c:\ Users \ DELL.vscode \ extensions \ ms-python.python-2020.2.63990 \ out \ client \ extension.js:75:879318)
Error: Jupyter cannot be started. Error attempting to locate jupyter: at A.startServer (c:\Users\DELL.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:784356) at async A.ensureServerAndNotebookImpl (c:\Users\DELL.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:783811) at async A.ensureServerAndNotebook (c:\Users\DELL.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:783612) at async A.submitCode (c:\Users\DELL.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:1:780564) at async A.reexecuteCell (c:\Users\DELL.vscode\extensions\ms-python.python-2020.2.63990\out\client\extension.js:75:879318)
如何解决此问题?
推荐答案
当我安装Visual Studio Code并尝试在新版Ubuntu 18.04上从jupyter笔记本中运行一些Python代码时,我遇到了完全相同的问题.
I had exactly the same problem when I installed Visual Studio Code and tried to run some Python code from a jupyter notebook on my fresh Ubuntu 18.04.
我如何解决它:
1)按Command+Shift+P
打开新的命令面板
1) Press Command+Shift+P
to open a new command pallete
2)键入>Python: Select Intepreter to start jupyter notebook server
3)再次打开笔记本电脑
3) Open the notebook again
效果很好.希望它对您有用.
And it worked fine. Hope it works for you.
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