Working with Jupyter Online If you are new to Jupyter, you can try features of Jupyter notebook before installing on your local machine. For this purpose, visit https://jupyter.org in your browser and choose ‘Try Jupyter with Python’ option. This will open home page of https://mybinder...
python -m kotlin_kernel add-kernel [--name name] [--jdk jdk_home_dir] [--set-jvm-args] [--jvm-arg arg]*[--env KEY VALUE]*[--force] In theadd-kernelscript, thenameargument is required if thejdkargument is not specified. Alternatively, if thejdkargument is specified, but thename...
python -m kotlin_kernel add-kernel [--name name] [--jdk jdk_home_dir] [--set-jvm-args] [--jvm-arg arg]* [--env KEY VALUE]* [--force] The command uses argparse, so --help, @argfile (you will need to escape the @ in powershell), and --opt=value are all supported. --...
Training Compiler FAQ Troubleshooting Release Notes Setting up training jobs to access datasets Configure data input mode using the SageMaker Python SDK Configure data input channel to use Amazon FSx for Lustre Choosing an input mode and a storage unit Use attribute-based access control (ABAC) for ...
Focus mode To use Jupyter AI, you must first install the Jupyter AI package. ForAmazon SageMaker AI Distributionusers, we recommend selecting the SageMaker Distribution image version 1.2 or later. No further installation is necessary. Users of JupyterLab in Studio can choose the version of their ...
Download the release from thereleases tab. A prepackaged distribution will be in an artifact namedijava-$version.zip. Unzip it into a temporary location. It should have at least theinstall.pyandjavafolder extracted in there. Run the installer with the same python command used to install jupyte...
Training Compiler FAQ Troubleshooting Release Notes Setting up training jobs to access datasets Configure data input mode using the SageMaker Python SDK Configure data input channel to use Amazon FSx for Lustre Choosing an input mode and a storage unit Use attribute-based access control (ABAC) for ...
Download the release from thereleases tab. A prepackaged distribution will be in an artifact namedijava-$version.zip. Unzip it into a temporary location. It should have at least theinstall.pyandjavafolder extracted in there. Run the installer with the same python command used to install jupyte...