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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, localhost 8889 tree.

Because the port numbers in the tunnel are the same you can copy the link with the token all-in-one to connect to the running jupyter notebook server. Connect by using a web browser, such as Chrome, by typing in the address bar: localhost This shift in port numbers is because this is your computer port number not the one listed above. If these port numbers are the same you can copy and paste either one of the links in the output at the start of the Jupyter notebook. This will connect you to the login page of the Jupyter notebook server.

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Hi, I am new to the forum. I have an issue with having different jupyter notebook running depending on how I start it. I have a MAC and tend to use data science and scraping libraries and originally I installed my jupyter notebook via Anaconda and everything worked fine. Then I noticed I have two different jupyter running if I start via the terminal vs. I am not sure why this is and how to fix it. If I run jupyter on the terminal. I get. If I launch jupyter via Anaconda Navigator, it is different. I get the following on my terminal. Noticed that one jupyter notebook can run nbextension and the other I am getting error message. I realized that once I go back to Anaconda version of jupyter, I should fix that error but that is for next time. In addition, conda supports environments , which are similar in concept to the Python virtual environments which sandbox Python interpreters from one-another. This means that you invoke different binaries depending upon which environment is active when you run a command in your shell. A good way to check is to run which pip inside the Jupyter Notebook with! Perhaps you can report back with your findings?

If I launch jupyter via Anaconda Navigator, it is different.

June 20, I got this error when I tried to launch jupyter notebook on a mac. It is not a fatal error. The error indicates that when the command automatically tried to launch a browser, it couldn't find the default browser in jupyter configuration file. The easy fix is to specify the browser.

Because the port numbers in the tunnel are the same you can copy the link with the token all-in-one to connect to the running jupyter notebook server. Connect by using a web browser, such as Chrome, by typing in the address bar: localhost This shift in port numbers is because this is your computer port number not the one listed above. If these port numbers are the same you can copy and paste either one of the links in the output at the start of the Jupyter notebook. This will connect you to the login page of the Jupyter notebook server. Copy and paste the value of the token shown in the terminal, from the example output, this would be f31fba0f1aa02acf35fef74 red text above. If you have the Module loaded you can try listing the notebooks running. Alternatively, you can search for process ID of all the running jupyter notebooks:.

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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. The text was updated successfully, but these errors were encountered:. Fixed via python3. Probably error occurred because some libraries was not deleted completely. Sorry, something went wrong.

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Already have an account? Sign up for free to join this conversation on GitHub. I get the following error message. Stack Overflow - Can't see my project in Jupiter notebook anymore. Improve this question. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I was able to follow the steps below as described here ; 1. The easy fix is to specify the browser. Sign in to comment. Jump to bottom. So it seems both the terminal and Anaconda is looking at the same jupyter and my problem is solved However, I am not quite sure how or why. Connect and share knowledge within a single location that is structured and easy to search. Highest score default Date modified newest first Date created oldest first. If you have the Module loaded you can try listing the notebooks running.

Connect and share knowledge within a single location that is structured and easy to search.

This job will possible run on a shared node resource as it is requesting only a single core. Have a question about this project? How to fix different version of Jupyter notebook on terminal and Anaconda. Mac OS But no one has provided an answer, so far. Tutorial on Wendian Login node Strictly for light weight testing and application use only. New issue. April 04, Labels jupyter notebook anaconda. A good way to check is to run which pip inside the Jupyter Notebook with! Different package versions in terminal and jupyter notebook Notebook. Sign up for free to join this conversation on GitHub.