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Packages required by your notebook’s code are installed in the correct environment. In these situations, take a close look at your environment structure and ensure all General kernel startup failures exhibited by nothing happening when attempting Import statements within code cells producing ImportError or ModuleNotFound exceptions. Notebook server running in one environment, while the kernel and/or its resources,ĭerive from another environment. In many cases, these issues stem from the Multiple python environments, whether based on Anaconda or Python Virtual environments,Īre often the source of reported issues. You may need to look for support about that kernel. If your problem is with another kernel, not the Python one we maintain, Try deleting or renaming that kernelspec folder to expose the default. So if the python3 kernelspec points somewhere else It provides a kernel which will run in the same Python environment as the notebook server.Ī path ending in ipykernel/resources, like in the example above, If it doesn’t find a real kernelspec, but it can import the ipykernel package, There’s a special fallback for the Python kernel: Ir /home/takluyver/.local/share/jupyter/kernels/ir Python3 /home/takluyver/.local/lib/python3.6/site-packages/ipykernel/resourcesīash /home/takluyver/.local/share/jupyter/kernels/bash To see where these are on your system, run jupyter kernelspec list:

#LINE APP FOR PC NOT CONNECTING HOW TO#

They should be the same, but in some cases it makes a difference.įiles called kernel specs tell Jupyter how to start different kinds of kernels. In the address bar, try changing between localhost and 127.0.0.1.

If you have security software, try turning it off temporarily,Īnd look in the settings for a more long-term solution.

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Some internet security software can interfere with Jupyter. Try disabling any browser extensions and/or any Jupyter extensions you have This helps pin down where the problem is. if you normally use Firefox, try with Chrome). Jupyter doesn’t load or doesn’t work in the browser  The version with the hyphen is the ‘real’ launcher, and the other one wraps Same as jupyter notebook (with a space), but if there’s any difference, Try running jupyter-notebook (with a hyphen). If Jupyter gives an error that it can’t find notebook,Ĭheck with pip or conda that the notebook package is installed. Just (re)install Anaconda with the default settings, If you don’t know what that means, and don’t want to find out, You may need to configure your PATH environment variable. Opening a terminal or command prompt and running the command jupyter notebook. If you’re using a menu shortcut or Anaconda launcher to start it, try

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It’s easy to upgrade and get on with what you wanted to do. Unfortunately it’s not always easy to figure out what packages are relevant,īut if there was a bug that’s already been fixed, If you can figure it outįrom these notes, it will be quicker than asking for help.Ĭheck that you have the latest version of any packages that look relevant. First, have a look at the common problems listed below.

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