![]() Repository that contains sample lifecycle configuration scripts at SageMaker Lifecycle configurations, see Customize a Notebook Instance Using a For more information about using notebook instance ( on-create) and a script that runs each time you restart the notebook To do that, use a lifecycleĬonfiguration that includes both a script that runs when you create the notebook instance ThisĮnsures that they persist when you stop and restart the notebook instance, and that anyĮxternal libraries you install are not updated by SageMaker. Install custom environments and kernels on the notebook instance's Amazon EBS volume. For information about conda environments, see Managing The different Jupyter kernels in Amazon SageMaker notebook instances are separate condaĮnvironments. You can also install your own environments that contain your choice ![]() Sample-notebooks folder, are refreshed when you stop and start a ![]() These environments, along with all files in the ![]() TheseĮnvironments contain Jupyter kernels and Python packages including: scikit, Pandas, Amazon SageMaker notebook instances come with multiple environments already installed. ![]()
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