Amazon SageMaker Notebook Instances Now Support JupyterLab 4 Notebooks
Date of creation : 2024-11-01
JupyterLab 4 is now available on Amazon SageMaker notebook instances, providing a powerful and modern interactive development environment (IDE) for data science and machine learning (ML) workflows.
With this update, you can now take advantage of the latest features and improvements in JupyterLab 4. For example, faster performance and notebook windowing support allow for much more efficient handling of large notebook tasks. The extension manager now includes both pre-built Python extensions and extensions from PyPI, making it easier to find and install the tools you need. The search and replace functionality has been enhanced with new features such as matching highlights in rendered markdown cells, searching for current selections, and support for regular expressions for replacements. By providing JupyterLab 4 on Amazon SageMaker notebook instances, we support a cutting-edge development environment that enhances productivity and efficiency when building ML models and exploring data.
JupyterLab 4 notebooks are available in all commercial AWS regions where SageMaker notebook instances can be used. For instructions on using and setting up SageMaker notebook instances, please refer to the developer guide.