Datalab GA Release

Google Cloud Datalab is now Generally Available for production use! It features:

• Easy to set up in Google Cloud Platform using the Command Line Interface (CLI)
  commands in Cloud SDK (https://cloud.google.com/datalab/docs/quickstarts). No need for local Docker.

• Two machine learning toolbox solutions (https://github.com/googledatalab/pydatalab/tree/master/solutionbox) (structured data and image classification) and various supporting libraries(https://github.com/googledatalab/pydatalab/tree/master/google/datalab/ml) which provides end-to-end and scalable machine learning solutions.

• A set of new improved BigQuery APIs under namespace “google.datalab” and commands.

• Cell-level menu for ease of use. Cleaner styling and layout.

• Notebook backup to GCS. Streamlined git repo creation and commit workflow.

• New notebooks showing APIs and commands of Storage, BigQuery, and Machine Learning.

With this release, the following things have been deprecated:

• The mode of running Datalab against a kernel gateway. Instead, use the datalab create command to create instances.

• The "datalab.*" APIs. Instead, use the "google.datalab" APIs

Please see the documentation at https://cloud.google.com/datalab/

Special thanks to all the contributors!