![]() For information about conda environments, see Managing ![]() The different Jupyter kernels in Amazon SageMaker notebook instances are separateĮnvironments. 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 Amazon SageMaker notebook instances come with multiple environments already installed.Įnvironments contain Jupyter kernels and Python packages including: scikit, Pandas,
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