Version 1.28.0

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google-cloud-notebooks overview (1.28.0)

Key Reference Links

is a managed service that offers an integrated and secure JupyterLab environment for data scientists and machine learning developers to experiment, develop, and deploy models into production. Users can create instances running JupyterLab that come pre-installed with the latest data science and machine learning frameworks in a single click.

AI Platform Notebooks Product Reference

GitHub Repository (includes samples)

Maven artifact

Getting Started

In order to use this library, you first need to go through the following steps:

• Install a JDK (Java Development Kit)
• Select or create a Cloud Platform project
• Enable billing for your project
• Enable the API
• Set up authentication

Use the AI Platform Notebooks for Java

To ensure that your project uses compatible versions of the libraries and their component artifacts, import com.google.cloud:libraries-bom and use the BOM to specify dependency versions. Be sure to remove any versions that you set previously. For more information about BOMs, see Google Cloud Platform Libraries BOM.

Which version should I use?

For this library, we recommend using API version v2 for new applications.

Each Cloud Java client library may contain multiple packages. Each package containing a version number in its name corresponds to a published version of the service. We recommend using the latest stable version for new production applications, which can be identified by the largest numeric version that does not contain a suffix. For example, if a client library has two packages: v1 and v2alpha, then the latest stable version is v1. If you use an unstable release, breaking changes may be introduced when upgrading. You can read more about Cloud API versioning strategy here.