I had a well set-up Windows machine with jupter installed and it was running fine. A week later,
> jupyter notebook
[I 12:18:13.640 NotebookApp] [nb_conda_kernels] enabled, 5 kernels found
And then nothing happens, Ctrl+z also doesn't work. My notebooks aren't running as the server is just not working.
Any way I can resolve the issue? I have a presentation with those notebooks!
Thanks.
First, it seems there is an existed jupyter server with unstable status. So if you are not sure what happened. Just try to reboot your computer.
Second, you can create a pure environment by conda create -n name python=x.x. Just remove anaconda. And then use pip install jupyter to install jupyter.
Related
I have been searching this problem since a while, but can't find a solution. I am working in Windows 10.
After I activate any virtual environment and I write "jupyter notebook", the terminal gets stucked and nothing happens, like in the picture:
No errors appear, I can't Ctrl+C to kill terminal and no browser page appears.
The "jupyter --help" command works, but any other subcommand (like jupyter lab, jupyter nbclassic or jupyter run) doesn't
I tried to do the following, with no results:
Uninstall and install jupyter again
I tried to lunch jupyter notebook with Anaconda Navigator
I tried to open a browser and go to "http://localhost:8889/tree", using different port values
I tried to restart my laptop
Does anyone have any idea what is going on?
Well,
If you've re-installed Anaconda with the default settings, it should set up PATH correctly. So I hope the error is not with PATH environment variable
Try the following:
If Jupyter gives an error that it can’t find notebook, check with pip or conda that the notebook package is installed.
Try running jupyter-notebook (with a hyphen). This should normally be the same as jupyter notebook (with a space), but if there’s any difference, the version with the hyphen is the ‘real’ launcher, and the other one wraps that.
It turned out that jupyter notebook was not starting because I could not ping my localhost (127.0.0.1) because of some bad network settings.
After running netsh winsock reset in a cmd terminal to reset the network settings, I could ping the localhost and jupyter notebook started to work again.
I was able to use jupyter notebook 4 days ago. The only thing that changed was there was a firefox version update.
After that the server crashes everytime .ipynb files are opened. Even the directory will have a server error. I tried it both on Firefox and Google Chrome, both browsers will crash the server.
My only kernel is python3 and it always says "Kernel Busy". I tried resetting my pc and the jupyter notebook, but nothing seems to work.
The console showed:
The last 2 lines are causing the crash but I don't know how to fix it
When I type conda install jupyter in the anaconda prompt, I get something before it finishes as shown below. Maybe it might have a cause as to why it is having issues:
I created a new python environment and installed python, matplotlib, pandas, jupyter and it still crashes
Please uninstall and re-install all the below items:
ipykernel
ipython
jupyter_client
jupyter_core
traitlets
ipython_genutils
Additionally, if you're going to install with conda, follow below command.
run conda clean -tipsy
This command will clean up conda caches before you start.
Reference:
https://github.com/jupyter/notebook/issues/1892
Do you let Jupyter start the browser? If so, disable that and start the browser manually. I don't see how the zmq error messages could be related to the browser startup, but since you say that the only change was a browser update, that's worth a shot.
Check which version of pyzmq is installed. If Jupyter Notebook and the kernel are in different conda envs, check both and make sure they are on the same version and build. Try upgrading or downgrading to different versions. According to Anaconda issue 8932, there are problems with pyzmq on Windows. And a new build for win32 was released about two weeks ago - though I would expect win64 builds to be used nowadays.
I also found some recommendations for a similar error message to yours in Spyder issue 6097. The first one is to try without firewall and/or antivirus. You might have picked up a new firewall rule unknowingly. Trying different versions of pyzmq is also mentioned there.
I am sharing this solution in case someone needs it in the future.
I have just faced the same problem a hour ago. This was the message I was getting in the terminal. And the jupyter keeps restarting.
ModuleNotFoundError: No module named 'html.entities'; 'html' is not a package
[I 00:44:32.436 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
After Searching through the internet when I can not find the solution. I fixed it by removing the .HTML files I had in the directory. After moving those file jupyter started working parfectly.
I just had a similar problem - for me, it was casued by a non-existing %temp% directory (I have %temp% mapped to a ram disk, and the temp folder on it wasn't created yet).
Creating the folder pointed to by %temp% solved the issue.
All my environments were working totally fine but suddenly after restarting the system, the jupyter notebook from an environment was not opening or it was suddenly crashing. Tried form anaconda prompt but getting "Unable to create Process...
All my DL dependencies were on this environment and I didn't want to create new environment completely installing all the required dependencies.
Solution: I opened the Anaconda Navigator and cloned old_env to new_env and it worked magically. I could able to open the jupyter notebook successfully and all dependencies were working fine. Hope it helps
I would like to use Jupyter notebook inside Pycharm. The project interpreter is a python2.7 from a virtual environment inside WSL (ubuntu 18.04).
The Jupiter package is correctly installed inside the virtual environment (I can run it by jupyter notebook).
My problem is that when I want to use Jupyter notebook inside Pycharm, I get the following error: Run Error Jupyter package is not installed (see picture).
Any idea what's going on here?
I had this problem in Python 3. Below are the steps I took to resolve the issue; I believe they should resolve the issue for you too:
I had Jupyter Lab installed. Pycharm only works with Jupyter Notebook. Long story short, if you have Jupyter Lab installed you need to uninstall all your packages using:
$ pip freeze | xargs pip uninstall -y
Restart your computer
Follow Jupyter Notebook installation instructions
Make sure WSL is set up through pycharm instructions: wsl pycharm instructions
In Pycharm, open an .ipynb file. Click the dropdown that says "Managed Jupyter server" It's right above the text editor. Select "configure Jupyter server". Check configured server.
In your wsl terminal, type jupyter notebook. Copy and paste the text that looks like: http://localhost:8888/?token=874asdf687asd6fasd8f74ds6f4s9d8f7sddf into the cofigured server box in Pycharm.
That's it. You should be able to run the jupyter cells in pycharm now.
I have Pycharm 2020.3 For me the issue was I was using a virtual environment with "inherit global site packages." I had Jupyter installed in global site packages but NOT the virtual environment.
Once I installed Jupyter within the virtual environment Jupyter notebook worked. Not sure why inheriting Jupyter from global packages wasn't working for me.
The above solution using a designated url with token seems to work with older versions of PyCharm. A simpler solution is to upgrade to the latest PyCharm. I no longer had an issue with the auto server using PyCharm 2019.3.2 (Mac)
I had this problem with Datalore plugin enabled on 2020.2 linux, running on bare metal but displaying to a remote X server (probably doesn't matter). My solution was to disable the Datalore plugin (it's enabled for professional pycharm by default).
This way I was still able to use the "managed" auto-start version with better integration / debugging vs the "configured" option (or at least with less hassle).
Note since it's been a year, my problem is probably different than OP.
This happened for me, when the interpreter was a remote one. I fixed this by changing the interpreter to one from a local env.
This can be done by selecting the Configure Jupyter Server.
I also meet this problem,and i solved it
i create the new project with the global sit-packages like below
then i meet the problem
i create the new project with no global sit-packages and install jupyter notebook in the virtualenv
then the problem is gone
My environment:
Windows 10 Professional
Python 3.7.2
virtualenv 16.4.3
I created a new virtual environment with D:\Python37\Scripts\virualenv env
Then I activated the virtual environment with env\Scripts\activate
Then I installed jupyter with pip install --upgrade jupyter
Finally, I started jupyter with jupyter notebook
Everything starts up fine, and I create a new Python 3 notebook. Unfortunately, the notebook never connects to the server. I get the following error message in powershell
Replacing stale connection: (token)
In the browser, I get the following error message:
"A connection to the notebook server could not be established. The notebook will continue trying to reconnect. Check your network connection or notebook server configuration."
My two prior virtual environments (with Jupyter) work fine. I've deleted .ipython, .jupyter, AppData\Roaming\jupyter, without any luck.
I've cleared cookies from my browser and have tried a different browser. Nothing works.
I've created two other virtual environments before, and both of those still work.
All jupyter notebooks in the two working environments start up as untrusted, whereas the new environment starts up as trusted. I'm guessing that I clicked on something and now the notebook is looking to start up in a trusted fashion - which may require HTTPS.
Where do I look to fix this problem?
This appears to be a tornado issue. I found clues here.
Jupyter no connection to server
Jupyter kernel not connecting
I looked at the version of tornado (from the above links) in an environment that was working. It turns out that the version was 5.1.1.
I looked at the version of tornado in an environment that was NOT working. It turns out that the version was 6.0.
I downgraded the version of tornado in my non-working environment to 5.1.1 with the following command.
pip install --upgrade tornado==5.1.1
And now the non-working environment works!
Anaconda is pretty good at handling any dependencies.I just tried this using Anaconda in the terminal:
# see current envs
conda info -e
# make new environment, feel free to add your version of python with python=3.7 handle
conda create -n test
activate test
conda list #This should appear empty
conda install jupyter #y to install everything.
jupyter notebook #launch jupyter notebook
Mine comes up as 'trusted'. The method above may not necessarily be the most minimalist way of doing things, but at least nothing breaks and you're up in running in no time. I'm using conda version: 4.6.2
Since this is one of the top answers to a Google search on the error :
"A connection to the notebook server could not be established. The notebook will continue trying to reconnect. Check your network connection or notebook server configuration."
This might also have nothing to do with any install or library.
It may just be a proxy setting in your browser or on your system directly.
One solution may be to deactivate the proxy or add an exception to Jupyter's URI.
In my case, the situation was different. It was a browser caching issue, i.e., I would call jupyter-lab using a batch script and it would just open a tab. Closing all explicitly tabs and then the browser worked me.
If there was an old instance of another disconnected jupyter-lab, it would somehow not establish a proper connection.
This solution work for me :
pip uninstall Pyzmq
pip install Pyzmq==19.0.2
Using pip to install some packages resulted in confusing the jupyter installation. So you can uninstall the packages installed with pip, disable the jupyter_contrib_nbextensions, then try to use conda install as possible.
jupyter labextension disable my-extension
Any cells in Jupyter which have In [*] in front of them are not executing in Jupyter notebook. See image below:
I even restarted the kernel, without any improvement of the situation. Previous cells run without trouble. Every cell I added recently has the problem.
I recommend you the following steps:
Close ipython notebook, and then reopen the file.
If 1 does not work, then restart the kernel and reopen the file.
If 2 does not work, then try whether things work fine on console. Type ipython and check whether your code statements work.
If 3 does not work, try reinstalling the scientific python distribution if you are using Anaconda or Enthought.
I have encountered same problem on my windows machine.Try Jupyter with Anaconda on Windows will not run cells. Probably your antivirus program or your iis is blocking default 8888 port.
Downgrading tornado to 4.5.3 fixed my problem. with
pip - sudo python3.6 -m pip install tornado==4.5.3
conda - conda install tornado==4.5.3
use this for this bugs
You probably have a lot of notebooks(tabs) open with running kernels in them. You can check this by clicking on this icon 1 on the left. There you see all the running kernels in all your open notebooks and shut them down.2 This should solve your problem.