julia> using IJulia notebook(detached=true) This is also useful if you want to keep using the current Julia session instead of opening a new one. You can use notebook(detached=true) to launch a notebook server in the background that will persist even when you quit Julia. (In a Debian or Ubuntu GNU/Linux system, install the package jupyter-client to install the system jupyter.) On Linux, it defaults to looking for jupyter in your PATH first, and only asks to installs the Conda Jupyter if that fails you can force it to use Conda on Linux by setting ENV="" during installation (see above). Hit enter to have it use the Conda.jl package to install a minimal Python+Jupyter distribution (via Miniconda) that is private to Julia (not in your PATH). The first time you run notebook(), it will prompt you for whether it should install Jupyter. To launch the IJulia notebook in your browser. To simplify installation, however, you can alternatively type the following in Julia, at the julia> prompt: using IJulia If you are comfortable managing your own Python/Jupyter installation, you can just run jupyter notebook yourself in a terminal. You can increase the volume size up to 16 TB. Edit on GitHub Running IJulia Running the IJulia Notebook Enter a new volume size, and then choose Save. Or, increase the Amazon Elastic Block Store (Amazon EBS) volume size:ģ. If disk utilization is high, then remove temporary files from the /home/ec2-user/SageMaker directory, if possible. Check disk utilization for filesystem /home/ec2-user/SageMaker. Run a command similar to the following to start a shell session and check disk utilization: df -hĤ. Choose the Actions dropdown list, and then choose Start.ģ. For a list of instance types available in each Region, see Supported instance types and Availability Zones.Ĥ. Choose a new Notebook instance type, and then choose Save. When the notebook instance reaches the Stopped status, choose the Actions dropdown list, and then choose Update settings.ģ. Stop the notebook instance, as explained earlier.Ģ. If CPU or memory utilization is high and you can't free up any more resources, consider switching to a larger notebook instance type:ġ. Open the Jupyter dashboard, and then choose the Files tab. To resolve this issue, shut down unnecessary notebook or terminal sessions.ġ. When you have a large number of active sessions and notebooks, notebooks take longer to load and might time out in the browser. On the Jupyter dashboard, check the Running tab. To prevent this issue from happening again, check for the following common causes of an overloaded notebook instance. Choose the Actions dropdown list, and then choose Start. Wait for the notebook instance to reach the Stopped status.Ħ. Choose the Actions dropdown list, and then choose Stop.ĥ. Select the circle next to the notebook instance name.Ĥ. In the navigation pane, choose Notebook instances.ģ. When you restart, you lose all other data.Ģ. Note: The only persistent storage on the notebook instance is the /home/ec2-user/SageMaker file system. This can help resolve HTTP 503 and 504 errors in your browser. When you restart, the notebook instance moves to a new underlying host. Restarting helps keep notebook instance software updated. It's a best practice to regularly restart notebook instances. If you still can't open the Jupyter notebook, restart the notebook instance. Clear your browser cache or try a different browser.If the status is Pending, the notebook instance isn't ready yet. On the Amazon SageMaker console, and then confirm that the notebook instance status is InService.
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