Possibly somebody needs to guide you through several steps until the real issue is found. Where is the kernel log? Then you should see the error message like in the issue I commented. I suggest you ask people of the pandas community. As you can see kernel started and after I typed and executed import pandas as pd in the jupyter UI, there is a kernel restart without any explanation or relevant message. I just discover these tools, but I can investigate if you tell me where is the log file if any?
I was able to catch the error, opening a terminal that does the following. I would not be so sure whether it is directly numpy or maybe some third-party library they use. Have you tried playing around with the environment variables like in the first link my first answer? I only received that hint and I used it. If you are interested where exactly the AVX message is sent off, you can try Python debugger and find out which statement of the pandas import makes it break.
Then it is great that we have figured that one out. Too bad that they dropped the support for old Macs but for the meantime at least some kind of solution downgrading seems to exist. Those silent failures are even worse and can take ages if nobody else has already reported a similar thing.
Drumroll …. OSX Within Anaconda, I was able to change the numpy version to 1.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub?
Sign in to your account. I get: "Kernel starting, please wait". Did Chrome just get an update? That's three people saying they have this issue within an hour. Onthe reporter says it works in Firefox.
See Posting resolution that has worked for others here: comment. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Milestone Reference. Copy link Quote reply. Please install widgetsnbextension or ipywidgets 4. This comment has been minimized. Sign in to view. I have the exact same problem.
Stuck at 'Kernel starting, please wait Chrome stuck in "starting kernel, please wait Problems selecting, copying and pasting GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
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Sign in to your account. I have a problem with Jupyter notebook. I can connect to python kernels without a problem but if I want to create a new R notebook, the connection always fails.
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I use jupyter via Anaconda. I will put the terminal output below. Maybe one of you has had a similar problem and can help out. Hi Carlos - thanks for opening this issue. Setting up the IRkernel which I assume is the R kernel you're using can be a bit more involved. This portion of the traceback needs to be addressed:. I would also suggest visiting the installation instructions in the IRkernel repo. Hello kevin-batesthank you for the quick reply!
So to start of I have removed the IRkernel I had installed via anaconda environments. Then I tried to run the commands listed in the installation guide you provided, but got the following errors messages:. IRkernel::installspec Error:. Sorry if it's something obvious I am doing wrong here. I don't have a computer science background. Thanks a lot for helping out! Hi Carlos - nothing relative to R is obvious! You might consult our esteemed colleague - google.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
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I have installed Anaconda and then launch Jupyter Notebook. Being a noob I am trying printing my name in it I am not getting the ouput. I have downgraded the tornado to 5. I have Python 3. There is something ipykernel which I have installed by using pip install ipykernel but again nothing happens. Could you please provide the output you see on the Notebook server's console?
It may show some clues as to what might be happening. I have attached the images for the output Here it is:. It should contain some traceback information or the like relative to this issue. I would also recommend restarting the notebook server with debug logging enabled e. Here is the output for jupyter notebook :.
And this is the outcome for jupyter notebook - debug. Subcommands are launched as jupyter-notebook cmd [args]. For information on using subcommand 'cmd', do: jupyter-notebook cmd -h. Arguments that take values are actually convenience aliases to full Configurables, whose aliases are listed on the help line.
For more information on full configurables, see '--help-all'. DEBUG maximize logging output --generate-config generate default config file -y Answer yes to any questions instead of prompting.
If not specified, the default browser will be determined by the webbrowser standard library module, which allows setting of the BROWSER environment variable to override it. If defined, this Notebook server acts as a proxy for all kernel management and kernel specification retrieval. Once the these three points are addressed I think we should be able to move forward on troubleshooting your original issue.
Please capture the entire startup sequence, either via screen-scrape or by redirecting the output to a file.
What we can see is that it appears the kernel-info response has not been received. This is consistent with the kernel not completely starting.
I'm hoping some "useful" information is above the various GET responses. There should be information pertaining to the kernel's startup. Here are the "interesting" aspects I'm not sure how to go about troubleshooting them, but its clear the launched kernel is not responding. Perhaps someone else has ideas?
I'm copying a few others that I've seen on threads dealing with conda kernels - hopefully they'll have some ideas or provide links to previous solutions. I don't know what the scope of nb-conda-kernels is - whether they span all conda envs or are specific to a particular env - but if you can uninstall them, you could try installing ipykernel and use that from Notebook. Jupyter notebook not connecting to kernel in virtual environment. Have reinstalled Anaconda, jupyter notebook repeatedly.First, have a look at the common problems listed below.
If you can figure it out from these notes, it will be quicker than asking for help. Check that you have the latest version of any packages that look relevant. Have you installed it? Try running jupyter-notebook with a hyphen. Try in another browser e. This helps pin down where the problem is. Some internet security software can interfere with Jupyter. If you have security software, try turning it off temporarily, and look in the settings for a more long-term solution.
In the address bar, try changing between localhost and They should be the same, but in some cases it makes a difference. Files called kernel specs tell Jupyter how to start different kinds of kernel. To see where these are on your system, run jupyter kernelspec list :. If your problem is with another kernel, not the Python one we maintain, you may need to look for support about that kernel.
As with any problem, try searching to see if someone has already found an answer. The jupyter-notebook tag on Stackoverflow. What error messages do you see? What platform are you on? How did you install Jupyter?
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I tried following the instructions given on the Jupyter Notebook documentation. I've a windows 7 64 bit system, with Anaconda3 installed not in C drive. I want to change Jupyter start folder location. Open cmd or Anaconda Prompt and run jupyter notebook --generate-config. Now you have a shortcut to start Jupyter at the location you want. This works on Windows 7, macOS, and Linux. For windows best to enclose the path in double quotes " as single quotes ' will not work if there is a space in the pathname.
I just had the same problem and tested the methods mentioned above. After several trials, I realized that they are partially correct and are not the complete solution. I tested the below in Windows 10 and Anaconda 4.
There are two ways to do even though they have only very small difference. Follow the way marneylc suggested above: i. So make the shortcut of this file.
500 : Internal Server Error
I'm using windows 7 64 bit with Anaconda2. So the answers above helped, but please allow me to make it clear so other people who aren't very familiar with MS-Windows can work it out in the same way:. You will get something like this:. You don't have to do anything on the prompt anymore. I didn't snapshot my full address because of privacy, but it shows something like:.
Let us assume, I want to open a notebook i.s01 Installing R Kernel Jupyter Notebook
Python with it. How can I do this? It should then just show me, that the kernel is not connected. I may then decide to start the kernel via the menu. I do not want to use nbviewer, since I want it to be integrated as much as possible in my normal Jupyter workflow. I don't use Jupyter, only the last version of IPython before the big splitbut when I try to open a notebook with a bogus kernel associated with it, IPython offers me to open it "without Kernel".
So I guess you just have to edit the. It's only a partial workaround, but it seems to work in all cases. You still need to have the right codemirror configuration in your system. An alternative would be to write a small kernel that does nothing like the "Echo Kernel"but that would be less effective, as you would still need a way of specify different modes of syntax highlighting except if you only intend to write IPython notebooks.
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Possible use cases: I just want to the the notebook output from former calculations. I do not want to do further computations. I want to quickly glance at it, without waiting for the kernel to start up. I did not find this documented anywhere.
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Taar Taar 4 4 silver badges 8 8 bronze badges. This is a good workaround. I ideally search for a way to add something like a parameter to the URL which then results in not starting a kernel. Sign up or log in Sign up using Google.