English 中文(简体)
如何适当关闭IPython笔记本?
原标题:How to close IPython Notebook properly?

如何适当关闭IPython笔记本?

Currently, I just close the browser tabs and then use Ctrl+C in the terminal.
Unfortunately, neither exit() nor ticking Kill kernel upon exit does help (they do kill the kernel they but don t exit the iPython).

最佳回答

现在比起终点站Ctrl+C要好。

我们重新思考如何明确关闭,但说明书作为单一用户应用程序,用户可以自由阻止该笔软件,而作为多用户服务器,只有一家行政才能停止。 我们没有就如何处理这些分歧展开大量工作。

(对于未来的读者来说,情况是释放了0.12人,开发过程中释放了0.13人)。)

www.un.org/spanish/ecosoc 更新2017年12月<>。

IPython Notebook已成为Jupyter Notebook。 最新版本增加了一个<代码>jupyter notebook end牌壳,将关闭一个服务器,运行该系统。 如果港口不是停泊的8888港,你可以将港口号码通过指挥线。

也可使用nbmanager,这一桌面应用可以显示服务器的运行和关闭。

Finally, we are working on adding:

  • A config option to automatically shut down the server if you don t use it for a specified time.
  • A button in the user interface to shut the server down. (We know it s a bit crazy that it has taken this long. Changing UI is controversial.)
问题回答

如果你在我这样的背景下坐下来:

jupyter notebook &> /dev/null &

Then to exit jupyter completely, instead of Ctl-C, make an alias command:

echo  alias quitjupyter="kill $(pgrep jupyter)"  >> ~/.bashrc

重新启动您的终点。 a. 杀害所有杀伤事件:

quitjupyter

Note: use double quotes inside of single quotes as shown above. The other way around will evaluate the expression before writing it to your .bashrc (you want to write the command itself not kill 1430 or whatever process number may be associated with a current jupyter instance). Of course you can use any alias you wish. I actually use qjup :

echo  alias qjup="kill $(pgrep jupyter)"  >> ~/.bashrc

重新启动您的终点。 a. 杀害所有杀伤事件:

qjup

第一步是节省所有公开笔记本。 然后考虑关闭你手头的Jupyter Notebook。 你可以使用这一简单指令:

$ jupyter notebook stop 
Shutting down server on port 8888 ...

Which also takes the port number as argument and you can shut down the jupyter notebook gracefully.

例:

jupyter notebook stop 8889 
Shutting down server on port 8889 ...

此外,还知道你目前主持陪审,检查如下:

shell> jupyter notebook list 
Currently running servers:
http://localhost:8888/?token=ef12021898c435f865ec706de98632 :: /Users/username/jupyter-notebooks [/code]

这些指挥部为我工作:

jupyter notebook list # shows the running notebooks and their port-numbers
                      # (for instance: 8080)
lsof -n -i4TCP:[port-number] # shows PID.
kill -9 [PID] # kill the process.

答案从 here改编。

如果没有任何其他工作,则由任务主管(视窗)杀害猪肉。

Linux (Ubuntu 14.04)

如前所述,首先在您的Pipynb/jupyter browser会议上进行“租赁”制成,然后在你的 con子上检查露天终点站,并关闭。 如果有可能,则应避免后者。

如果你操作了<代码>ipython notebook list,并继续看到不同港口的机车服务器运行,请说明哪些港口正在使用现有的笔记本。 随后关闭了我国的TCP港口:

fuser -k  port# /tcp 

我不清楚这样做是否还有其他风险。 如果是的话,让我知道。

实际上,我认为,使用杀手或任务主管,比杀害进程更清洁。

在Jupyter Notebook Dash板(浏览器接口你在你首次发射jupyter notebook时看到),浏览了你在浏览器上关闭的笔记本档案,但该笔记本可能仍在运行。

iPython Notebook files appear with a book icon, shown in green if it has a running kernel, or gray if the kernel is not running.

只是选择了在案卷旁边的标状箱,然后在上面的舒特瓦顿上点击。

这将适当关闭与该具体笔记本有关的弹道。

<>环境>


我的顾问团是乌班图16.04,支部是4.3.0。

<>Method


第一,在浏览器上,一只gged碎机(原 log子右上)。

第二,<代码>的类型 Ctrl + C in You 起站,显示:

[I 15:59:48.407 NotebookApp]interrupted Serving notebooks from local directory: /home/Username 0 active kernels

The Jupyter Notebook is running at: http://localhost:8888/?token=a572c743dfb73eee28538f9a181bf4d9ad412b19fbb96c82

该笔记本服务器(y/[n])倒闭?

最后步骤,y5 sec,如果显示:

[C 15:59:50.407 NotebookApp] Shutdown confirmed
[I 15:59:50.408 NotebookApp] Shutting down kernels

页: 1 你成功地结束你的 j。

现在最好的办法是使用“Quit”纽托邦,这只是“Logout”的左边。 我必须承认,我不理解 Log子的作用。 然而,我感到高兴的是,他们增加了极为有用的基特兰。

如果你坐在玉米上,使用Jupyter lab,你可以在终点站做以下工作:

jupyter list

首先是给你们所有的运行服务器。 一旦你们知道这个职位,就只能使用支板。 例如,如果服务器在8888台运行,就刚刚执行。

jupyter lab stop 8888

<><>>

1. 开放不同的专线和运行

jupyter notebook stop [PORT]

违约[担保]为888美元,因此,假定Jupyter Notebook在8888号港口运行,刚刚开始运行。

jupyter notebook stop

如果位于9000港,则在9000港,

jupyter notebook stop 9000

<https://github.com/jupyter/notebook/issues/2844#issuecomment-505763830"rel=“nofollow noreferer”>

  1. 检查时间夹地点

    jupyter --paths
    
  2. 移除所有档案

    rm -r [RUNTIME FOLDER PATH]/*
    
  3. 使用<代码>top,以找到留下的任何Jupyter笔记本操作程序,如果是,则杀死他们的笔记。

    top | grep jupyter &
    kill [PID]
    

可查阅boilt itdown。 页: 1

TARGET_PORT=8888
kill -9 $(lsof -n -i4TCP:$TARGET_PORT | cut -f 2 -d " ")

Option 3

作为最后的手段,Hary的股份here。 也是有益的

sudo pkill -1 -f python 

Note: If one wants to launch one s Notebook on a specific IP/Port

jupyter notebook --ip=[ADD_IP] --port=[ADD_PORT] --allow-root &

在浏览器会议上,也可到<代码>Kernel,然后点击Restart and Clear Output/code>。

I am copy pasting from the Jupyter/IPython Notebook Quick Start Guide Documentation, released on Feb 13, 2018. http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html

1.3.3 Close a notebook: kernel shut down When a notebook is opened, its “computational engine” (called the kernel) is automatically started. Closing the notebook browser tab, will not shut down the kernel, instead the kernel will keep running until is explicitly shut down. To shut down a kernel, go to the associated notebook and click on menu File -> Close and Halt. Alternatively, the Notebook Dashboard has a tab named Running that shows all the running notebooks (i.e. kernels) and allows shutting them down (by clicking on a Shutdown button).

www.un.org/spanish/ecosoc 提要:首先关闭并停止记本。

1.3.2 Shut down the Jupyter Notebook App Closing the browser (or the tab) will not close the Jupyter Notebook App. To completely shut it down you need to close the associated terminal. In more detail, the Jupyter Notebook App is a server that appears in your browser at a default address (http://localhost:8888). Closing the browser will not shut down the server. You can reopen the previous address and the Jupyter Notebook App will be redisplayed. You can run many copies of the Jupyter Notebook App and they will show up at a similar address (only the number after “:”, which is the port, will increment for each new copy). Since with a single Jupyter Notebook App you can already open many notebooks, we do not recommend running multiple copies of Jupyter Notebook App.

www.un.org/spanish/ecosoc 摘要:第二,关闭你发射Jupyter的终点站。

Step 1 - On shell just do control+z (control+c) Step 2 _ close the web browser

杀害所有<代码>jupyter-notebookjupyter-lab、开放式终端和仅杀死所有<代码>jupyter 通过提供背景

pkill jupyter





相关问题
Can Django models use MySQL functions?

Is there a way to force Django models to pass a field to a MySQL function every time the model data is read or loaded? To clarify what I mean in SQL, I want the Django model to produce something like ...

An enterprise scheduler for python (like quartz)

I am looking for an enterprise tasks scheduler for python, like quartz is for Java. Requirements: Persistent: if the process restarts or the machine restarts, then all the jobs must stay there and ...

How to remove unique, then duplicate dictionaries in a list?

Given the following list that contains some duplicate and some unique dictionaries, what is the best method to remove unique dictionaries first, then reduce the duplicate dictionaries to single ...

What is suggested seed value to use with random.seed()?

Simple enough question: I m using python random module to generate random integers. I want to know what is the suggested value to use with the random.seed() function? Currently I am letting this ...

How can I make the PyDev editor selectively ignore errors?

I m using PyDev under Eclipse to write some Jython code. I ve got numerous instances where I need to do something like this: import com.work.project.component.client.Interface.ISubInterface as ...

How do I profile `paster serve` s startup time?

Python s paster serve app.ini is taking longer than I would like to be ready for the first request. I know how to profile requests with middleware, but how do I profile the initialization time? I ...

Pragmatically adding give-aways/freebies to an online store

Our business currently has an online store and recently we ve been offering free specials to our customers. Right now, we simply display the special and give the buyer a notice stating we will add the ...

Converting Dictionary to List? [duplicate]

I m trying to convert a Python dictionary into a Python list, in order to perform some calculations. #My dictionary dict = {} dict[ Capital ]="London" dict[ Food ]="Fish&Chips" dict[ 2012 ]="...

热门标签